{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003478357,0.0008763557,0.00113798,0.0004250218,0.000447697,0.0003635032,0.0001575675,0.0003371467,0.000006151435],"category_scores_gemma":[0.0006489217,0.0008619912,0.00002582033,0.0004364662,0.0006610006,0.0002871886,0.0001937642,0.0004637697,1.434902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721779,"about_ca_system_score_gemma":0.001686917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7340788,"about_ca_topic_score_gemma":0.7414213,"domain_scores_codex":[0.9957089,0.0002384087,0.001037023,0.001174796,0.001200906,0.0006399077],"domain_scores_gemma":[0.9963663,0.0008093718,0.001207017,0.0004402231,0.0006751053,0.0005020355],"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":[0.0002234741,0.0001555282,0.0004101055,0.001900957,0.0005289844,0.0009594808,0.0009762296,0.000001347126,0.003247294,0.0000631018,0.98949,0.002043554],"study_design_scores_gemma":[0.005042552,0.001973514,0.7128606,0.004518974,0.008977264,0.001343335,0.1390997,0.001644118,0.003021231,0.0003917924,0.1144943,0.006632615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.150012,0.004569804,0.00007232149,0.00001068694,0.0003421176,0.00074884,0.8441965,0.00002566693,0.00002209565],"genre_scores_gemma":[0.1869649,0.00234904,0.001299463,0.00003074395,0.00008813129,0.00005776266,0.8090736,0.0001039248,0.00003245477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8749956,"threshold_uncertainty_score":0.9993831,"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."}}