{"id":"W6963902324","doi":"10.25318/3510020001-eng","title":"Family and non-family victims of police-reported violent crime and traffic offences causing bodily harm or death, by victim age and gender, provinces, territories and census metropolitan areas, inactive","year":2021,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Harm; Population; Poison control; Violent crime","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":[0.0009647848,0.001125878,0.001346477,0.003581174,0.001331445,0.001691663,0.003198289,0.001050455,0.04128856],"category_scores_gemma":[0.008609416,0.0009080825,0.001356537,0.01023964,0.0003404321,0.001184866,0.001172629,0.001822142,0.01580737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009741163,"about_ca_system_score_gemma":0.01907281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9178281,"about_ca_topic_score_gemma":0.9313226,"domain_scores_codex":[0.9990122,0.00005955488,0.0001638079,0.0001629084,0.0003177622,0.0002838087],"domain_scores_gemma":[0.9940782,0.0004826048,0.0005411772,0.0003041272,0.004067633,0.0005263358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006882108,0.00002113304,0.005984277,0.0005170331,0.00004099712,0.00001546138,0.00003749235,0.0002058219,0.00002019904,0.0004408504,0.9911324,0.001515509],"study_design_scores_gemma":[0.0007557123,0.00003722131,0.256364,0.0019706,0.0002044211,0.000151413,0.001016143,0.001227574,0.0003160494,0.0008160046,0.7370369,0.0001040128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002390736,0.00002926646,0.00001644702,0.0000449416,0.00001057179,0.00001322857,0.9991112,0.00001938349,0.0005158365],"genre_scores_gemma":[0.002284688,0.0001462049,0.0001946679,0.00008431506,0.000008849547,0.000146984,0.9950408,0.00002322052,0.002070343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08217186,"threshold_uncertainty_score":0.1653115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053295650744368,"score_gpt":0.2955323998954571,"score_spread":0.2749994433880134,"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."}}