{"id":"W7001866873","doi":"","title":"Local government animal bylaws in British Columbia: current state analysis and emerging practices","year":2023,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); State (computer science); Local government; Identification (biology); Government (linguistics); Animal welfare; Best practice; Balance (ability)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002271632,0.0001525833,0.0002491881,0.00351623,0.009127681,0.006216303,0.002126675,0.0007955426,0.009301093],"category_scores_gemma":[0.008106564,0.0004331969,0.0002112938,0.0111962,0.003399784,0.001379909,0.002005771,0.001771057,0.0007511278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08019629,"about_ca_system_score_gemma":0.08241665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9870878,"about_ca_topic_score_gemma":0.9949625,"domain_scores_codex":[0.9970986,0.000320554,0.0001311047,0.0003419316,0.001163058,0.0009447755],"domain_scores_gemma":[0.9881864,0.002501836,0.001054643,0.0004181432,0.005868959,0.001969901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001831303,0.0002464713,0.472533,0.001140565,0.00006289407,0.001958639,0.08692741,0.001262582,0.00224431,0.04571486,0.07660384,0.3111223],"study_design_scores_gemma":[0.00001130943,0.00004978003,0.6207273,0.00107742,0.00003262647,0.0002079579,0.1693972,0.0008107031,0.0004490979,0.002013259,0.205123,0.0001003635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8184303,0.008751519,0.00129926,0.01891453,0.0001114752,0.0002988054,0.0038099,0.0001579096,0.1482262],"genre_scores_gemma":[0.9236032,0.006010716,0.001155247,0.002013238,0.00001360544,0.000134506,0.001514973,0.00004181962,0.06551257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08019629,"threshold_uncertainty_score":0.5818676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151962032846335,"score_gpt":0.3391079360464999,"score_spread":0.3175883157180366,"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."}}