AI Screenr
AI Interview for Animal Control Officers

AI Interview for Animal Control Officers — Automate Screening & Hiring

Automate screening for animal control officers with AI interviews. Evaluate animal handling, clinical skills, client communication, and team coordination — get scored hiring recommendations in minutes.

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By AI Screenr Team·

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The Challenge of Screening Animal Control Officers

Screening animal control officers involves assessing a wide range of skills, from species-specific handling techniques to client communication abilities. Hiring managers often face repetitive interviews probing basic animal handling and regulatory knowledge, only to find candidates who struggle with practical application or nuanced client interactions. This process consumes valuable time and resources, especially when candidates provide only textbook answers without demonstrating real-world experience.

AI interviews streamline this process by evaluating candidates on practical scenarios, probing deeply into animal handling, clinical care, and team coordination skills. The AI generates comprehensive evaluations, highlighting strengths and weaknesses, so you can efficiently identify qualified officers. Learn more about the automated screening workflow to optimize your hiring process and focus your efforts on the most promising candidates.

What to Look for When Screening Animal Control Officers

Expertise in animal restraint techniques for diverse species and temperaments
Clinical assessment skills aligned with AAHA standards for animal care
Proficient in documenting cases in electronic medical records with precision
Effective communication of treatment options and costs to clients
Coordination with veterinary teams for comprehensive animal care
Experience using Avimark and Cornerstone for practice management
Ability to operate Idexx and Heska in-house analyzers for diagnostics
Knowledge of state veterinary board rules and compliance requirements
Conducting animal welfare investigations with a focus on community relations
Strategic data-driven enforcement planning to reduce animal incidents

Automate Animal Control Officers Screening with AI Interviews

AI Screenr delves into animal handling expertise, clinical care proficiency, and team coordination. It identifies weak answers and prompts deeper insights, offering detailed AI interview software evaluations.

Species-Specific Probing

Questions adapt to explore handling techniques for various species and temperaments, ensuring comprehensive assessment.

Clinical Care Evaluation

Assesses clinical skills, licensing scope, and adherence to AAHA standards with follow-up questions for depth.

Communication Insights

Evaluates client communication strategies, including treatment discussions and cost handling, with scored feedback.

Three steps to your perfect animal control officer

Get started in just three simple steps — no setup or training required.

1

Post a Job & Define Criteria

Create your animal control officer job post highlighting skills in animal handling, clinical care, and client communication. Or paste your job description and let AI generate the entire screening setup automatically.

2

Share the Interview Link

Send the interview link directly to candidates or embed it in your job post. Candidates complete the AI interview on their own time — no scheduling needed, available 24/7. See how it works.

3

Review Scores & Pick Top Candidates

Get detailed scoring reports for every candidate with dimension scores, evidence from the transcript, and clear hiring recommendations. Shortlist the top performers for your second round. Learn how scoring works.

Ready to find your perfect animal control officer?

Post a Job to Hire Animal Control Officers

How AI Screening Filters the Best Animal Control Officers

See how 100+ applicants become your shortlist of 5 top candidates through 7 stages of AI-powered evaluation.

Knockout Criteria

Automatic disqualification for deal-breakers: minimum years of animal control experience, NACA certification, and state licensure. Candidates who don't meet these move straight to 'No' recommendation, saving hours of manual review.

85/100 candidates remaining

Must-Have Competencies

Each candidate's animal handling and restraint techniques across various species and temperaments are assessed and scored pass/fail with evidence from the interview.

Language Assessment (CEFR)

The AI evaluates the candidate's ability to communicate treatment options and cost discussions at the required CEFR level, crucial for client interactions and community outreach.

Custom Interview Questions

Your team's most important questions on clinical care and animal welfare investigations are asked consistently. The AI probes vague answers to reveal real-world experience.

Blueprint Deep-Dive Scenarios

Pre-configured scenarios like 'Handling a multi-species rescue' with structured follow-ups. Every candidate receives the same depth of inquiry for fair comparison.

Required + Preferred Skills

Each required skill (e.g., clinical skills, documentation accuracy) is scored 0-10 with evidence snippets. Preferred skills (e.g., using Avimark or ezyVet) earn bonus credit when demonstrated.

Final Score & Recommendation

Weighted composite score (0-100) with hiring recommendation (Strong Yes / Yes / Maybe / No). Top 5 candidates emerge as your shortlist — ready for technical interview.

Knockout Criteria85
-15% dropped at this stage
Must-Have Competencies63
Language Assessment (CEFR)50
Custom Interview Questions36
Blueprint Deep-Dive Scenarios24
Required + Preferred Skills12
Final Score & Recommendation5
Stage 1 of 785 / 100

AI Interview Questions for Animal Control Officers: What to Ask & Expected Answers

When interviewing animal control officers — whether manually or with AI Screenr — the right questions reveal deep experience and strategic thinking. The critical areas to assess are based on NACA guidelines and real-world enforcement scenarios.

1. Animal Handling

Q: "Describe a situation where you had to handle an aggressive animal safely."

Expected answer: "In my previous role at the city agency, I encountered a particularly aggressive pit bull during a routine welfare check. I used a catch pole from our equipment kit, which is crucial for maintaining a safe distance. By approaching slowly and speaking calmly, I was able to secure the animal without incident. The use of a catch pole reduced potential injury risks by 40% as per our agency's safety audits. This technique ensured the animal was transported securely for assessment by our veterinary team, improving handler safety by 30% compared to manual restraint."

Red flag: Candidate cannot describe the tools used or the steps taken to ensure safety.


Q: "How do you assess an animal's temperament quickly in the field?"

Expected answer: "At my last job, we developed a quick assessment protocol using behavioral cues like posture, vocalizations, and eye contact. I typically spent about 5 minutes observing these factors before attempting any interaction. This method, based on AAHA guidelines, helped us reduce escalation incidents by 20%. We also employed handheld devices with a digital checklist to ensure no cues were missed, increasing our accuracy by 15%. This approach allowed for a more informed and safer interaction with the animal."

Red flag: Candidate lacks a systematic approach or relies solely on intuition.


Q: "What tools do you use for capturing stray animals and why?"

Expected answer: "During my time with the city agency, we primarily used humane traps and nets, choosing the tool based on the animal's size and species. Humane traps, configured with motion sensors, allowed us to catch nocturnal animals like raccoons efficiently, increasing capture rates by 25%. For birds or smaller animals, we used telescopic nets, which improved our reach and reduced stress on the animals by 15%. These tools, used in compliance with NACA standards, enabled us to handle diverse wildlife safely and humanely."

Red flag: Candidate cannot explain the specific rationale for tool selection or lacks experience with varied species.


2. Clinical Care

Q: "How do you prioritize treatment for multiple animals needing urgent care?"

Expected answer: "In urgent scenarios at the city agency, I relied on a triage system aligned with AAHA standards. We assessed vital signs using Idexx analyzers, prioritizing animals showing signs of shock or severe injury. Our approach reduced critical wait times by 30% and improved survival rates by 15%. I coordinated with our veterinary team using Cornerstone software to document and track the status of each case, ensuring that the most critical cases received immediate attention."

Red flag: Candidate lacks a structured triage process or fails to mention collaboration with veterinary staff.


Q: "What experience do you have with administering medication?"

Expected answer: "In my previous role, administering medication was a daily task, often under challenging conditions. I was trained to use both oral and injectable forms, with proficiency in calculating dosages using ezyVet software. Our accuracy improved by 20% due to regular calibration checks with Heska analyzers. I also ensured that our records were updated in real-time, reducing medication errors by 15%. This meticulous approach was crucial for maintaining compliance with state veterinary board rules."

Red flag: Candidate does not mention specific medications or lacks experience with dosage calculations.


Q: "Explain how you handle post-operative care for animals."

Expected answer: "After surgeries, I focused on monitoring vital signs and ensuring a clean environment, using DaySmart Vet to track recovery milestones. During my tenure, we introduced a pain management protocol that utilized multi-modal analgesia, reducing recovery times by 20%. I coordinated closely with veterinarians to adjust care plans based on real-time data from Idexx devices. This collaboration improved our post-operative recovery rates by 15% and ensured that all animals received timely and effective care."

Red flag: Candidate lacks experience with post-operative protocols or does not mention specific monitoring tools.


3. Client Communication

Q: "How do you handle a situation where a pet owner disagrees with your assessment?"

Expected answer: "In cases of disagreement, I maintained professionalism and empathy, as taught in our NACA certification. At my last agency, we used a structured communication model to explain findings, supported by evidence from our assessments. I once had a case where a dog's health was in question, and I presented data collected via Idexx, which showed elevated liver enzymes. This factual approach, coupled with AAHA guidelines, resolved the issue amicably and improved owner compliance by 25%."

Red flag: Candidate cannot describe a clear communication strategy or relies solely on authority without evidence.


Q: "What strategies do you use to educate the community on animal welfare?"

Expected answer: "In my role at the city agency, we implemented community workshops and distributed educational materials, which increased public awareness by 30%. I also collaborated with local nonprofits to host vaccination clinics, using data from previous attendance to target under-served areas. This strategic partnership approach, guided by NACA standards, improved community engagement by 40%. The initiative not only educated the public but also reduced the incidence of preventable diseases, as reflected in our annual reports."

Red flag: Candidate lacks specific examples of community engagement or does not mention measurable outcomes.


4. Team Coordination

Q: "How do you ensure effective communication within your team?"

Expected answer: "At the city agency, we held weekly coordination meetings using Cornerstone to review cases and align on priorities. I implemented a shared digital dashboard that tracked real-time updates on ongoing cases, improving our response times by 20%. By fostering an open communication environment, we reduced miscommunication incidents by 15%. This approach ensured that all team members, from field officers to veterinary staff, were informed and could act promptly on urgent matters."

Red flag: Candidate cannot provide examples of tools or strategies used for team communication.


Q: "Describe a time you had to coordinate with external partners for a complex case."

Expected answer: "During a hoarding case, I coordinated with a local nonprofit to manage the rescue of over 50 cats. We used a project management tool to assign roles and timelines, which kept the operation on track and within budget. This collaboration, adhering to NACA guidelines, reduced the expected time to resolve the case by 40%. By leveraging each organization's strengths, we ensured the animals received necessary medical care and found suitable foster homes promptly."

Red flag: Candidate does not describe specific coordination efforts or lacks experience with external partnerships.


Q: "What role does technology play in your work?"

Expected answer: "Technology is integral to our operations, from using Avimark for case management to employing handheld devices for field data collection. At my agency, we integrated real-time GPS tracking for patrol units, which improved route efficiency by 25%. This tech-driven approach allowed us to respond to incidents faster and allocate resources more effectively. By staying updated with the latest tools, we enhanced our enforcement capabilities and overall operational efficiency."

Red flag: Candidate lacks examples of technology use or fails to describe its impact on their work.


Red Flags When Screening Animal control officers

  • Lacks species-specific handling skills — may escalate stress in animals, increasing risk of injury to both parties
  • No experience with electronic medical records — could lead to documentation errors, impacting treatment continuity and legal compliance
  • Can't communicate treatment options effectively — risks client dissatisfaction and potential loss of trust in the facility
  • Limited knowledge of clinical assessments — might miss key health indicators, delaying necessary interventions for animal welfare
  • No teamwork experience with veterinarians — may struggle in collaborative environments, impacting overall care and operational efficiency
  • Unfamiliar with AAHA standards — indicates potential non-compliance with industry benchmarks, risking accreditation and quality assurance

What to Look for in a Great Animal Control Officer

  1. Proficient in multi-species handling — demonstrates confidence and skill, reducing stress and ensuring safety during animal interactions
  2. Strong clinical assessment skills — able to identify health issues promptly, facilitating timely and effective treatment decisions
  3. Excellent client communication — articulates treatment and cost options clearly, fostering trust and informed decision-making
  4. Accurate and thorough documentation — ensures all medical records are precise, supporting continuity of care and legal standards
  5. Collaborative team player — works effectively with veterinary staff, enhancing team dynamics and improving care delivery

Sample Animal Control Officer Job Configuration

Here's exactly how an Animal Control Officer role looks when configured in AI Screenr. Every field is customizable.

Sample AI Screenr Job Configuration

Senior Animal Control Officer — Public Safety

Job Details

Basic information about the position. The AI reads all of this to calibrate questions and evaluate candidates.

Job Title

Senior Animal Control Officer — Public Safety

Job Family

Healthcare

Focus on animal welfare, public safety, and regulatory compliance — the AI tailors questions to healthcare roles.

Interview Template

Operational Leadership Screen

Allows up to 4 follow-ups per question. Prioritizes scenario-based problem-solving.

Job Description

We seek a senior animal control officer to lead our city’s animal control unit. You’ll manage animal welfare investigations, coordinate with law enforcement, and develop community outreach programs. Collaborate with veterinarians and non-profits to enhance animal safety and public health.

Normalized Role Brief

Experienced officer with 7+ years in animal control. Strong leadership in enforcement and community engagement. Must excel in strategic planning and regulatory compliance.

Concise 2-3 sentence summary the AI uses instead of the full description for question generation.

Skills

Required skills are assessed with dedicated questions. Preferred skills earn bonus credit when demonstrated.

Required Skills

Animal handling and restraintClinical assessment and nursingClient communication on treatment optionsAccurate documentation in EMRsTeam coordination with vets and staff

The AI asks targeted questions about each required skill. 3-7 recommended.

Preferred Skills

Experience with Avimark or CornerstoneKnowledge of AAHA standardsProficient with Idexx analyzersAnimal welfare investigation experienceCommunity outreach program development

Nice-to-have skills that help differentiate candidates who both pass the required bar.

Must-Have Competencies

Behavioral/functional capabilities evaluated pass/fail. The AI uses behavioral questions ('Tell me about a time when...').

Animal Handling Expertiseadvanced

Proficient in handling a diverse range of animals safely and effectively

Regulatory Complianceintermediate

Ensures adherence to local and state animal control laws

Communication Skillsintermediate

Effective communication with the public and team members

Levels: Basic = can do with guidance, Intermediate = independent, Advanced = can teach others, Expert = industry-leading.

Knockout Criteria

Automatic disqualifiers. If triggered, candidate receives 'No' recommendation regardless of other scores.

Animal Control Experience

Fail if: Less than 5 years in animal control

Minimum experience required for senior-level responsibilities

Licensure

Fail if: Lacks necessary state licensure

Must be licensed to perform clinical assessments and procedures

The AI asks about each criterion during a dedicated screening phase early in the interview.

Custom Interview Questions

Mandatory questions asked in order before general exploration. The AI follows up if answers are vague.

Q1

Describe a challenging animal welfare case you handled. What was your approach and outcome?

Q2

How do you prioritize animal control calls during peak periods?

Q3

Explain a time you improved community relations through outreach programs.

Q4

What strategies do you use to ensure compliance with animal welfare regulations?

Open-ended questions work best. The AI automatically follows up if answers are vague or incomplete.

Question Blueprints

Structured deep-dive questions with pre-written follow-ups ensuring consistent, fair evaluation across all candidates.

B1. How would you design a strategic plan for reducing stray animal incidents in the city?

Knowledge areas to assess:

Data analysisCommunity partnershipsResource allocationEducation and outreachPolicy development

Pre-written follow-ups:

F1. What metrics would you use to measure success?

F2. How would you involve local organizations in your plan?

F3. What challenges do you anticipate and how would you address them?

B2. Explain your approach to handling aggressive animals safely.

Knowledge areas to assess:

Safety protocolsAnimal behavior assessmentRestraint techniquesTeam coordinationPost-incident evaluation

Pre-written follow-ups:

F1. Can you provide an example of a difficult case you managed?

F2. What training do you provide to your team for such situations?

F3. How do you ensure minimal stress for the animal during handling?

Unlike plain questions where the AI invents follow-ups, blueprints ensure every candidate gets the exact same follow-up questions for fair comparison.

Custom Scoring Rubric

Defines how candidates are scored. Each dimension has a weight that determines its impact on the total score.

DimensionWeightDescription
Animal Handling Proficiency25%Skill in safely managing diverse animal species
Regulatory Knowledge20%Understanding and application of relevant animal control laws
Community Engagement18%Effectiveness in building community relations and outreach
Strategic Planning15%Ability to develop and implement strategic plans
Problem-Solving10%Approach to resolving complex animal welfare issues
Communication7%Clarity and effectiveness in communication
Blueprint Question Depth5%Coverage of structured deep-dive questions (auto-added)

Default rubric: Communication, Relevance, Technical Knowledge, Problem-Solving, Role Fit, Confidence, Behavioral Fit, Completeness. Auto-adds Language Proficiency and Blueprint Question Depth dimensions when configured.

Interview Settings

Configure duration, language, tone, and additional instructions.

Duration

40 min

Language

English

Template

Operational Leadership Screen

Video

Enabled

Language Proficiency Assessment

Englishminimum level: B2 (CEFR)3 questions

The AI conducts the main interview in the job language, then switches to the assessment language for dedicated proficiency questions, then switches back for closing.

Tone / Personality

Professional and empathetic. Prioritize safety and welfare. Challenge candidates to provide specific examples and strategies.

Adjusts the AI's speaking style but never overrides fairness and neutrality rules.

Company Instructions

We are a municipal agency focused on public safety and animal welfare. Emphasize collaboration with law enforcement and community organizations.

Injected into the AI's context so it can reference your company naturally and tailor questions to your environment.

Evaluation Notes

Prioritize candidates who demonstrate strategic thinking and strong community engagement skills.

Passed to the scoring engine as additional context when generating scores. Influences how the AI weighs evidence.

Banned Topics / Compliance

Do not discuss salary, equity, or compensation. Do not ask about personal opinions on animal rights activism.

The AI already avoids illegal/discriminatory questions by default. Use this for company-specific restrictions.

Sample Animal Control Officer Screening Report

This is what the hiring team receives after a candidate completes the AI interview — a detailed evaluation with scores and insights.

Sample AI Screening Report

Michael Johnson

84/100Yes

Confidence: 89%

Recommendation Rationale

Michael exhibits strong animal handling skills with expertise in dealing with aggressive animals. His regulatory knowledge is solid but lacks strategic planning experience in leveraging data for patrol focus. Recommend advancing to the next round to assess planning capabilities.

Summary

Michael shows excellent animal handling and regulatory compliance skills, with practical experience in aggressive animal management. However, strategic planning skills, particularly in using data for patrol optimization, are areas for development.

Knockout Criteria

Animal Control ExperiencePassed

Over 7 years at a city agency, exceeding experience requirements.

LicensurePassed

Holds necessary certifications for animal control operations.

Must-Have Competencies

Animal Handling ExpertisePassed
91%

Exceptional handling skills demonstrated with aggressive animals.

Regulatory CompliancePassed
88%

Thorough knowledge of AAHA standards and state regulations.

Communication SkillsPassed
85%

Effectively communicated complex treatment options to clients.

Scoring Dimensions

Animal Handling Proficiencystrong
9/10 w:0.25

Demonstrated advanced handling techniques for aggressive animals.

"In a high-stress scenario, I used low-stress handling techniques on a distressed pit bull, reducing its anxiety and safely restraining it."

Regulatory Knowledgestrong
8/10 w:0.20

Solid understanding of AAHA standards and state regulations.

"I ensured compliance with state veterinary board rules by implementing AAHA protocols, reducing our inspection violations by 25%."

Community Engagementmoderate
7/10 w:0.15

Good engagement with community but limited collaboration with nonprofits.

"I coordinated monthly community workshops on pet care, but need to improve partnership with local NGOs for broader impact."

Strategic Planningmoderate
6/10 w:0.20

Limited use of data in strategic patrol planning.

"I have not yet implemented data-driven patrol strategies, focusing instead on reactive case management based on immediate needs."

Communicationstrong
8/10 w:0.20

Clear and effective communication with clients and team members.

"I explained treatment plans to clients, ensuring understanding and agreement, which improved compliance rates by 15%."

Blueprint Question Coverage

B1. How would you design a strategic plan for reducing stray animal incidents in the city?

patrol optimizationcommunity educationresource allocationdata-driven decision making

+ Emphasized community education to reduce incidents

+ Discussed resource allocation for high-risk areas

- Lacked data-driven approach in planning

B2. Explain your approach to handling aggressive animals safely.

low-stress handling techniquessafety protocolsbehavior assessment

+ Detailed use of low-stress techniques

+ Implemented effective safety protocols

Language Assessment

English: assessed at B2+ (required: B2)

Interview Coverage

85%

Overall

4/4

Custom Questions

85%

Blueprint Qs

3/3

Competencies

5/5

Required Skills

3/6

Preferred Skills

100%

Language

Coverage gaps:

Data-driven patrol strategiesNonprofit collaborationAdvanced strategic planning

Strengths

  • Advanced handling of aggressive animals
  • Strong compliance with regulatory standards
  • Effective client communication skills
  • Proactive community engagement strategies

Risks

  • Limited strategic planning experience
  • Minimal use of data for decision making
  • Underdeveloped nonprofit partnership skills

Notable Quotes

"In high-risk areas, I allocate additional patrols based on historical data."
"I conducted workshops that improved community compliance by 20%."
"Using AAHA protocols, we reduced inspection violations by 25%."

Interview Transcript (excerpt)

AI Interviewer

Hi Michael, I'm Alex, your AI interviewer for the Senior Animal Control Officer position. Let's explore your experience in animal control. Are you ready to begin?

Candidate

Absolutely, I've been working in animal control for over 7 years, primarily focusing on animal-welfare investigations and community education.

AI Interviewer

Great. How would you design a strategic plan for reducing stray animal incidents in the city?

Candidate

I would focus on increasing patrols in high-risk areas, using historical data to identify these zones, and enhance community education workshops to reduce incidents.

AI Interviewer

Interesting approach. How do you handle aggressive animals safely in your role?

Candidate

I use low-stress handling techniques and safety protocols. For example, I once calmed a distressed pit bull by using calming signals and gentle restraint, ensuring a safe outcome.

... full transcript available in the report

Suggested Next Step

Proceed to the next interview stage focusing on strategic planning and data analysis for patrol optimization. His strong foundational skills suggest these gaps can be bridged with targeted guidance and training.

FAQ: Hiring Animal Control Officers with AI Screening

What topics does the AI screening interview cover for animal control officers?
The AI covers animal handling, clinical care, client communication, and team coordination. You can customize the focus areas during setup to match your agency's needs, and the AI will adapt its questions based on candidate responses.
How does the AI handle candidates who might exaggerate their experience?
The AI uses follow-up questions to probe for specific examples and experiences. If a candidate claims expertise in animal handling, the AI asks detailed questions about species-specific restraint techniques and past case scenarios.
How long does an animal control officer screening interview take?
Interviews typically last 20-45 minutes, depending on your configuration. You can adjust the number of topics, depth of follow-ups, and include language assessments as needed. For detailed options, check out our pricing plans.
Can the AI interview be conducted in languages other than English?
AI Screenr supports candidate interviews in 38 languages — including English, Spanish, German, French, Italian, Portuguese, Dutch, Polish, Czech, Slovak, Ukrainian, Romanian, Turkish, Japanese, Korean, Chinese, Arabic, and Hindi among others. You configure the interview language per role, so animal control officers are interviewed in the language best suited to your candidate pool. Each interview can also include a dedicated language-proficiency assessment section if the role requires a specific CEFR level.
How does AI Screenr compare to traditional screening methods for this role?
AI Screenr offers a structured and objective assessment process, reducing bias and standardizing evaluations. Unlike traditional methods, it adapts in real-time to candidate responses, ensuring a thorough evaluation.
Can I customize the scoring criteria for animal control officer positions?
Yes, you can customize the scoring rubric to emphasize specific skills such as clinical care or client communication. AI Screenr provides a weighted composite score and detailed rubric dimensions for each candidate.
Does AI Screenr include a language proficiency assessment for animal control officers?
AI Screenr supports candidate interviews in 38 languages — including English, Spanish, German, French, Italian, Portuguese, Dutch, Polish, Czech, Slovak, Ukrainian, Romanian, Turkish, Japanese, Korean, Chinese, Arabic, and Hindi among others. You configure the interview language per role, so animal control officers are interviewed in the language best suited to your candidate pool. Each interview can also include a dedicated language-proficiency assessment section if the role requires a specific CEFR level.
How does AI Screenr integrate with our existing hiring workflow?
AI Screenr integrates seamlessly with your hiring process. For detailed workflow options and integration capabilities, visit how AI Screenr works.
Are there knockout questions for animal control officer roles?
Yes, you can set knockout questions to quickly filter candidates who do not meet essential criteria, such as specific licensure or years of experience in animal control.
Can AI Screenr assess different levels of animal control officer roles?
Absolutely. You can configure interviews to suit different seniority levels, from entry-level to senior positions, ensuring the assessment matches the role's complexity and responsibility.

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