{"id":"W6964344866","doi":"10.25318/3510005001-eng","title":"Victims of police-reported violent crime and traffic violations causing bodily harm or death, by type of violation and sex of victim, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Population; Poison control; Metropolitan area; Census; Suicide prevention; Human factors and ergonomics","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":[0.0009757325,0.001214447,0.00145309,0.003525456,0.001315204,0.001707863,0.003481822,0.001013271,0.03035009],"category_scores_gemma":[0.007702901,0.0009686936,0.001632136,0.01026024,0.0004021753,0.001071958,0.001145337,0.001817846,0.01209393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389116,"about_ca_system_score_gemma":0.02850287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588253,"about_ca_topic_score_gemma":0.9638032,"domain_scores_codex":[0.9989014,0.00006555047,0.0001934181,0.0001833091,0.0003492248,0.0003070849],"domain_scores_gemma":[0.993404,0.0004386707,0.0005764805,0.0002849356,0.004724704,0.000571196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008834098,0.00002402295,0.008730438,0.0007037527,0.00006619855,0.00001717586,0.00003575431,0.0002297824,0.00002684287,0.0004219491,0.9879467,0.001708959],"study_design_scores_gemma":[0.0009805686,0.00004540286,0.3349497,0.002272729,0.0003221521,0.0001559967,0.0008388232,0.001598691,0.0004816842,0.0007797626,0.6574403,0.0001342449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002901032,0.00004119756,0.00001937654,0.00005017601,0.00001381083,0.00001544698,0.9991015,0.00002485907,0.0004434673],"genre_scores_gemma":[0.00303034,0.0001947,0.0002111925,0.0001134326,0.00001172147,0.0001632508,0.9943212,0.0000253149,0.00192884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04117471,"threshold_uncertainty_score":0.1015311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255954473711511,"score_gpt":0.3208307802405151,"score_spread":0.2982712355034,"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."}}