{"id":"W6976554896","doi":"10.6068/dp14ba8012df067","title":"Trend 2002 - 2010. Statistics Canada. CANSIM: Crime and Justice - Victims and Victimization | Country: Canada | Table: Victim services survey, types of victim service agencies | Variable: Community-based agencies, 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":"Educator Training and Historical Pedagogy","field":"Social Sciences","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; Summary statistics","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":[0.002866634,0.002545732,0.003016122,0.009846048,0.003750577,0.005798776,0.00573918,0.001606181,0.1096094],"category_scores_gemma":[0.02270613,0.002335022,0.002470218,0.04281586,0.0007215497,0.002993673,0.002886998,0.00333935,0.06297219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07372176,"about_ca_system_score_gemma":0.1935932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99591,"about_ca_topic_score_gemma":0.9938308,"domain_scores_codex":[0.9943764,0.0003854077,0.0006250599,0.0006249747,0.002698903,0.001289223],"domain_scores_gemma":[0.9537987,0.001438002,0.001244056,0.001267881,0.03986507,0.002386373],"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":[0.00002490789,0.000006704597,0.0008646002,0.0002458346,0.00001986046,0.000005683734,0.00002266549,0.00008916525,0.000008793163,0.0003682192,0.9965088,0.001834776],"study_design_scores_gemma":[0.0001618988,0.00001606113,0.02650888,0.0009722275,0.00008372861,0.00002870827,0.000595571,0.0004828217,0.0001888447,0.0006716209,0.9701887,0.0001006888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000589277,0.00006668837,0.00003305828,0.0001895018,0.00004672558,0.00002674663,0.9981111,0.00009164921,0.001375547],"genre_scores_gemma":[0.001094045,0.0004564276,0.0006107667,0.0002659438,0.00002846688,0.0002060123,0.9897221,0.0001946758,0.007421541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1096094,"threshold_uncertainty_score":0.5348913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08107798383051315,"score_gpt":0.3061963682509833,"score_spread":0.2251183844204702,"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."}}