{"id":"W6957923264","doi":"10.6068/dp14ba814ee0c19","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: Court-based agencies, General information | 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":[0.002469533,0.002597304,0.003008841,0.009687213,0.003709106,0.005795453,0.005598949,0.001603288,0.1062851],"category_scores_gemma":[0.01996106,0.002341433,0.002457917,0.04176065,0.0006903477,0.003037083,0.002821255,0.003375894,0.0618729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0717951,"about_ca_system_score_gemma":0.1867033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961634,"about_ca_topic_score_gemma":0.9941832,"domain_scores_codex":[0.9947168,0.0003225388,0.0005602396,0.0005826245,0.002567545,0.001250083],"domain_scores_gemma":[0.9572971,0.00120826,0.001185405,0.001070305,0.03695321,0.002285757],"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":[0.00002669886,0.000007815995,0.0009681121,0.0002444873,0.00002030496,0.000006177191,0.00002270431,0.00009272437,0.000009100107,0.000372742,0.9963647,0.001864563],"study_design_scores_gemma":[0.000178779,0.0000176562,0.02856127,0.000994149,0.00008679403,0.00003103029,0.000649668,0.0005562311,0.0002137826,0.0006522223,0.9679538,0.0001047272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006521653,0.00007035393,0.00003099745,0.0001886352,0.00004646223,0.00002486597,0.9980704,0.00008954164,0.001413466],"genre_scores_gemma":[0.001187725,0.0004842715,0.0005585017,0.0002596829,0.00002917292,0.0001835305,0.9893745,0.0001883765,0.007734214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1062851,"threshold_uncertainty_score":0.5209123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172128155328169,"score_gpt":0.2308940000151168,"score_spread":0.2091727184618351,"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."}}