{"id":"W7034569243","doi":"","title":"Violence contre les policiers : comprendre l'Ã©volution du taux de voies de fait contre les policiers au Canada","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Poison control; Criminal liability; Economic shortage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009490268,0.0004235245,0.0005429113,0.002554905,0.002369778,0.002509005,0.001209405,0.0004327997,0.005243234],"category_scores_gemma":[0.004178475,0.0004067423,0.0008027442,0.00631036,0.001299788,0.0007084325,0.001269205,0.0009064777,0.0002024749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04397291,"about_ca_system_score_gemma":0.06596999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979101,"about_ca_topic_score_gemma":0.998365,"domain_scores_codex":[0.9985188,0.0001464798,0.00007085352,0.0002911082,0.0004651137,0.0005077932],"domain_scores_gemma":[0.9960254,0.0005029517,0.0008486682,0.0001854167,0.001878176,0.0005592812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001459717,0.00002166636,0.9637806,0.0001576524,0.0004260938,0.0001685774,0.004544972,0.0007764116,0.0003724375,0.002716935,0.00360781,0.02328073],"study_design_scores_gemma":[0.000004129625,0.0000106716,0.9923341,0.00009011981,0.00009217858,0.00002849447,0.002291209,0.0003544149,0.0001400626,0.0001112375,0.004527017,0.00001624378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584417,0.009278975,0.000735955,0.004750873,0.00009617286,0.0000460807,0.01101982,0.00004384058,0.01558642],"genre_scores_gemma":[0.9855447,0.003996748,0.0004558127,0.0003290052,0.0000269057,0.0000210694,0.002823402,0.00002248111,0.006779817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04397291,"threshold_uncertainty_score":0.3190473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002693281078369658,"score_gpt":0.1239915002435485,"score_spread":0.1212982191651789,"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."}}