{"id":"W6976718721","doi":"10.6068/dp14ba87915558","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, Assistance with victim impact statements, Number | 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; Official statistics; Criminal justice; 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":[0.002522978,0.002627639,0.003028677,0.009833495,0.003923357,0.005966166,0.005542222,0.001564856,0.1024822],"category_scores_gemma":[0.02016813,0.002307364,0.002468092,0.04122894,0.0007047091,0.003008315,0.002852917,0.003387503,0.0581396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07476849,"about_ca_system_score_gemma":0.1923625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967098,"about_ca_topic_score_gemma":0.995194,"domain_scores_codex":[0.9948587,0.0003287349,0.0005411261,0.0005822485,0.00245739,0.001231734],"domain_scores_gemma":[0.9587278,0.001208788,0.001157786,0.001067068,0.03556057,0.002278116],"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":[0.00002750193,0.000007962757,0.001085766,0.0002454261,0.00002199861,0.000006424933,0.00002528743,0.0001015082,0.000009275545,0.0003897138,0.9960956,0.001983559],"study_design_scores_gemma":[0.0001717347,0.00001738031,0.02908738,0.00101248,0.0000921932,0.00003248871,0.0007167312,0.0006231102,0.000220194,0.0006830793,0.9672313,0.0001119769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007230292,0.00007597078,0.00003384138,0.0001971675,0.00004614514,0.00002417824,0.9980878,0.00009435727,0.001368275],"genre_scores_gemma":[0.001345698,0.0005232765,0.0006342334,0.0002640546,0.00002895401,0.0001801345,0.9891903,0.0002027433,0.007630562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024822,"threshold_uncertainty_score":0.542486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516444715434614,"score_gpt":0.2661941032168091,"score_spread":0.241029656062463,"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."}}