{"id":"W6969536912","doi":"10.5683/sp3/klplau","title":"Canadian Centre for Justice Statistics","year":2005,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economic Justice; Subject (documents); Cover (algebra); Official statistics; Crime statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003005562,0.001910352,0.002284571,0.01569884,0.003742723,0.006527597,0.00385612,0.001373833,0.0939073],"category_scores_gemma":[0.02795541,0.00140347,0.001406005,0.04725324,0.0007296479,0.002175396,0.002089735,0.003584449,0.05770274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04303742,"about_ca_system_score_gemma":0.1305097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9727545,"about_ca_topic_score_gemma":0.9737321,"domain_scores_codex":[0.9928916,0.0003738388,0.0007566471,0.0008776955,0.003984447,0.001115822],"domain_scores_gemma":[0.9608173,0.001863567,0.001514902,0.00226271,0.03174547,0.001796052],"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":[0.000009532008,0.000003428161,0.0005303895,0.0001173494,0.000008644736,0.000005586765,0.00001045076,0.00005000115,0.000005159567,0.001340773,0.9953967,0.00252197],"study_design_scores_gemma":[0.00002943196,0.000003967336,0.00916563,0.0003125253,0.0000222861,0.00002254136,0.00007446461,0.0002227954,0.00006850162,0.0009147514,0.9891271,0.00003585767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005668499,0.0001961612,0.0001051411,0.0003720646,0.00009373597,0.00002511663,0.9929107,0.00015135,0.006089003],"genre_scores_gemma":[0.001500565,0.0008396152,0.001111033,0.0003169497,0.0000403805,0.0001634065,0.9819863,0.0001976604,0.01384415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0939073,"threshold_uncertainty_score":0.3141512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869781359163759,"score_gpt":0.2842666309111061,"score_spread":0.2655688173194685,"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."}}