{"id":"W6920318779","doi":"10.6068/dp14ba814e1fb15","title":"Trend 2002 - 2008. 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: Court-based agencies, Compensation, other | Units: # %, 2002-2008. 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":[0.002451345,0.002501664,0.002977907,0.009655546,0.003619267,0.005567337,0.005482029,0.001544758,0.1059533],"category_scores_gemma":[0.01980308,0.002287346,0.002323008,0.04148319,0.0006647041,0.002918262,0.002739845,0.003318606,0.06004231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06968937,"about_ca_system_score_gemma":0.1772927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961082,"about_ca_topic_score_gemma":0.9941747,"domain_scores_codex":[0.9949215,0.000317557,0.000531959,0.0005642406,0.002442002,0.001222671],"domain_scores_gemma":[0.9576382,0.001247281,0.001176544,0.001055253,0.03666222,0.002220549],"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":[0.00002435213,0.000007268507,0.0009353054,0.0002254358,0.00001820293,0.000005856327,0.00002258781,0.00008544468,0.000008307999,0.0003400252,0.996587,0.001740137],"study_design_scores_gemma":[0.0001747809,0.00001643872,0.0279418,0.0009762889,0.00008134681,0.00003018677,0.0006678512,0.0005286486,0.0001968369,0.0006315471,0.968655,0.00009911824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006440174,0.00006557076,0.00002899195,0.0001827791,0.00004241669,0.00002248083,0.9982286,0.00008674976,0.001277979],"genre_scores_gemma":[0.001167413,0.0004551579,0.0005518909,0.0002506273,0.0000280988,0.0001829634,0.9896386,0.000191052,0.007534184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1059533,"threshold_uncertainty_score":0.5056341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553755954800569,"score_gpt":0.2400152835911377,"score_spread":0.2144777240431321,"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."}}