{"id":"W6888860140","doi":"10.25318/3510016501-eng","title":"Adults and youths charged, by sex and offence category, Canada, provinces and territories","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":"Property (philosophy); Criminal offence; Population; Criminal code; Property crime; Code (set theory)","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":[0.0009230684,0.001390011,0.001619379,0.005661803,0.002037707,0.002230546,0.003053434,0.0009954135,0.03147777],"category_scores_gemma":[0.00838751,0.001141486,0.001686735,0.01937476,0.0005038067,0.001143416,0.001270978,0.00193931,0.01102001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01944625,"about_ca_system_score_gemma":0.05151647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907985,"about_ca_topic_score_gemma":0.9912121,"domain_scores_codex":[0.998419,0.00007041133,0.0002442035,0.0002451613,0.0005330868,0.0004880891],"domain_scores_gemma":[0.9929773,0.0003617035,0.0006031813,0.0003048154,0.005106108,0.0006468053],"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":[0.0000787992,0.00002309769,0.01123521,0.0005306134,0.00007004677,0.00002194459,0.00006359228,0.0002723728,0.00002211592,0.000472216,0.9848644,0.002345576],"study_design_scores_gemma":[0.00061785,0.00003251483,0.3069327,0.001531563,0.0002382438,0.0001414754,0.001019614,0.0009131088,0.0003245604,0.0006087444,0.6875222,0.0001173153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000407567,0.00006968013,0.00001859854,0.00005808887,0.00001383284,0.00001779863,0.998838,0.0000295286,0.0005469078],"genre_scores_gemma":[0.004082829,0.0003547167,0.0002405121,0.0001120985,0.00001371627,0.0001781815,0.9917166,0.00003339042,0.003268056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03147777,"threshold_uncertainty_score":0.1410931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00408287037246408,"score_gpt":0.223880343055664,"score_spread":0.2197974726831999,"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."}}