{"id":"W6976722969","doi":"10.6068/dp14ba85ba40463","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, Self-help or peer support groups, 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; 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":[0.002564704,0.002601206,0.003109245,0.01017963,0.003975524,0.005977001,0.00568082,0.001599804,0.1009677],"category_scores_gemma":[0.02047391,0.002347882,0.002521682,0.04253078,0.0007012662,0.003015197,0.00281597,0.003404137,0.05674365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07521383,"about_ca_system_score_gemma":0.1934846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968167,"about_ca_topic_score_gemma":0.9952571,"domain_scores_codex":[0.9947023,0.0003404722,0.0005718533,0.0005948061,0.002510291,0.001280238],"domain_scores_gemma":[0.9574357,0.00126598,0.001203489,0.001062542,0.03670651,0.002325881],"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":[0.00002754159,0.000008220763,0.001133885,0.0002522555,0.00002316763,0.00000647641,0.00002585588,0.0001035074,0.000009017934,0.0003881428,0.9960954,0.001926504],"study_design_scores_gemma":[0.0001880117,0.00001850546,0.03191334,0.001071598,0.0000997141,0.00003439155,0.0007854738,0.0006674404,0.0002277247,0.000689616,0.9641848,0.0001192696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007514335,0.00007477706,0.00003273944,0.0001956729,0.00004546748,0.00002452319,0.9981212,0.00009147331,0.001338953],"genre_scores_gemma":[0.001334041,0.0005152647,0.0006118522,0.0002620704,0.0000289418,0.0001865355,0.9892119,0.0002013098,0.007647967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1009677,"threshold_uncertainty_score":0.5457171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686673710633726,"score_gpt":0.2488684636116315,"score_spread":0.2220017265052942,"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."}}