{"id":"W6920347873","doi":"10.6068/dp14ba8426d7162","title":"Trend 2002 - 2010. Statistics Canada. CANSIM: Crime and Justice - Victims and Victimization | Country: Canada | Table: Victim services survey, types of services offered directly by victim service agencies | Variable: Police-based agencies, Prevention training (for clients) | Units: # %, 2002-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-045.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crime statistics; Law enforcement; Criminal justice; Official statistics; Economic Justice; Economic statistics; Census; Service (business)","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":[0.002472643,0.002627326,0.003065198,0.009724397,0.003879115,0.005945086,0.005559705,0.00158586,0.09894506],"category_scores_gemma":[0.02026827,0.00230691,0.002495934,0.04091625,0.0007161829,0.002959715,0.002892158,0.003353558,0.05731453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07179943,"about_ca_system_score_gemma":0.1846579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965983,"about_ca_topic_score_gemma":0.995046,"domain_scores_codex":[0.9950299,0.0003139703,0.0005269814,0.0005727844,0.002354348,0.00120209],"domain_scores_gemma":[0.9597259,0.001205303,0.001162688,0.001069997,0.0346195,0.002216577],"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":[0.00002656752,0.000007589808,0.001069161,0.0002452866,0.00002222449,0.00000618658,0.00002397295,0.0001027069,0.000008655004,0.0003623446,0.9963253,0.001799916],"study_design_scores_gemma":[0.0001847329,0.0000171259,0.02924435,0.001033597,0.00009469361,0.00003258162,0.0006990361,0.0006350691,0.0002246573,0.0006808941,0.9670396,0.0001136352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006612646,0.00006823894,0.00002963945,0.0001797339,0.00004161112,0.00002140517,0.9983361,0.00008631939,0.001170842],"genre_scores_gemma":[0.001245048,0.0004651247,0.0005576764,0.0002380622,0.00002702974,0.0001669656,0.9906342,0.0001851775,0.006480882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09894506,"threshold_uncertainty_score":0.5209438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287074864420942,"score_gpt":0.263338060515349,"score_spread":0.2204673118711395,"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."}}