{"id":"W7000985131","doi":"","title":"“Giving the Highest Chance of a Good Outcome”:\\nExploring the <i>Missing Persons Act</i> in British\\nColumbia and Ontario from the Policing\\nPerspective","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Work (physics); Agency (philosophy); Perspective (graphical)","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":[0.003925377,0.0001737031,0.0002422093,0.0009995645,0.01384209,0.00424675,0.001443379,0.001801843,0.004122882],"category_scores_gemma":[0.01221032,0.0003883657,0.0002131656,0.001384871,0.01117884,0.001875926,0.00316469,0.004572353,0.0003882735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02017717,"about_ca_system_score_gemma":0.03590888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8799073,"about_ca_topic_score_gemma":0.9588773,"domain_scores_codex":[0.9948602,0.00174522,0.0001951279,0.00018659,0.001025183,0.00198778],"domain_scores_gemma":[0.9916567,0.001075335,0.001787577,0.0002561986,0.001694685,0.003529547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008794105,0.00009625691,0.1905774,0.00007345458,0.00002471153,0.000328911,0.767411,0.00008432829,0.0002446304,0.01140779,0.01640123,0.01326239],"study_design_scores_gemma":[0.000006788915,0.0000303771,0.1442886,0.0001277644,0.00001144375,0.000101925,0.8382301,0.00006704682,0.00007538507,0.0008406533,0.01619748,0.00002242637],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947433,0.0002766251,0.0001242161,0.02222473,0.00008579266,0.00002150894,0.000111227,0.000007286168,0.0297155],"genre_scores_gemma":[0.9961323,0.0001227476,0.00005369401,0.0009069375,0.0000114364,0.000006669125,0.00003186132,0.000007708631,0.002726857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200927,"threshold_uncertainty_score":0.2416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509424737833367,"score_gpt":0.2801296444866454,"score_spread":0.2291871707033087,"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."}}