{"id":"W4407117769","doi":"","title":"\"With every big outbreak, we lose staff\": The mental health impacts of depopulation on veterinarians.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Outbreak; Mental health; Environmental health; Medicine; Business; Geography; Psychiatry; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002806501,0.000217617,0.0001676603,0.0005009572,0.005641344,0.001761199,0.0009464208,0.0009860181,0.002116233],"category_scores_gemma":[0.004903299,0.0002504894,0.0001921897,0.0005322653,0.006255966,0.001355017,0.002920472,0.002414948,0.000163531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007320488,"about_ca_system_score_gemma":0.01196895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105047,"about_ca_topic_score_gemma":0.2257179,"domain_scores_codex":[0.998274,0.0009516211,0.00004120551,0.0000636997,0.0002171213,0.0004524467],"domain_scores_gemma":[0.9964379,0.001251965,0.0008910421,0.00008193393,0.0003139645,0.001023293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005358383,0.0001386358,0.08835763,0.0003086967,0.00001721498,0.002351093,0.8757859,0.00005816941,0.0006470736,0.001003129,0.006662268,0.02461663],"study_design_scores_gemma":[0.000003692176,0.00008578817,0.04513285,0.0002047585,0.000006015708,0.0005281559,0.9484374,0.00002997317,0.00005872229,0.0001770433,0.005326637,0.00000904914],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730122,0.002839313,0.0001904974,0.01941241,0.0001228323,0.00003597207,0.00003053064,0.000006911446,0.004349258],"genre_scores_gemma":[0.9936867,0.002040373,0.0002056415,0.002843598,0.00002731541,0.00002248328,0.00001825198,0.00000197231,0.001153696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105047,"threshold_uncertainty_score":0.2088711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088882678576626,"score_gpt":0.4453022102913817,"score_spread":0.2364139424337191,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}