{"id":"W2973476369","doi":"10.1080/08927936.2019.1579473","title":"Perceptions of Veterinarians in British Columbia of Cat Management Strategies to Reduce Cat Overpopulation and Impacts on Wildlife Populations","year":2019,"lang":"en","type":"article","venue":"Anthrozoös","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia; University of Victoria","funders":"","keywords":"Overpopulation; Wildlife; Animal welfare; Wildlife management; Medicine; Population; Welfare; Veterinary medicine; Wildlife conservation; Environmental health; Socioeconomics; Ecology; Biology; Political science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004875279,0.0000605083,0.0001299315,0.0000436487,0.00004424949,0.00003530486,0.00004863615,0.00004603858,0.00007165939],"category_scores_gemma":[0.00001542245,0.00009036266,0.0000315741,0.00007264396,0.00004940055,0.00001214485,0.00006141172,0.00002426506,0.00000565217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233168,"about_ca_system_score_gemma":0.0000158435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009201996,"about_ca_topic_score_gemma":0.04113388,"domain_scores_codex":[0.9994027,0.00002367485,0.0002031165,0.000189916,0.00007920013,0.0001014136],"domain_scores_gemma":[0.9996895,0.0000055022,0.00006880045,0.0001587629,0.00004971534,0.00002772807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007138143,0.0001840316,0.2797835,0.0000879357,0.00006788177,0.000003258697,0.000677246,0.0004591363,0.7136887,0.0003221737,0.003706498,0.0009482386],"study_design_scores_gemma":[0.0002646165,0.0005466297,0.9919255,0.0001030818,0.00001276982,0.000007942098,0.005118253,0.00002441237,0.0012193,0.0000322717,0.0006466385,0.00009862462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983723,0.00002186015,0.00003283535,0.00009536619,0.00009851443,0.0002468473,0.00003268274,0.000004302155,0.001095252],"genre_scores_gemma":[0.9987715,0.000137486,0.0003840288,0.00007438259,0.00002245376,0.000013145,0.00004356562,0.000009321567,0.0005440716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7124694,"threshold_uncertainty_score":0.9973958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296414365853036,"score_gpt":0.3606171085065639,"score_spread":0.3376529648480335,"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."}}