{"id":"W6957592567","doi":"10.6068/dp14ba827ebeb34","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: Sexual assault centres, Psychological assistance | 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; Summary statistics; 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":[0.002381419,0.002594456,0.003076412,0.00963388,0.003726648,0.005872336,0.005574683,0.00161599,0.1051439],"category_scores_gemma":[0.01955341,0.002318314,0.002529427,0.04141996,0.0006929887,0.003010671,0.002852574,0.00341095,0.06063585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06916719,"about_ca_system_score_gemma":0.180625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961683,"about_ca_topic_score_gemma":0.9942182,"domain_scores_codex":[0.9949822,0.0003072181,0.0005515954,0.0005626385,0.002381139,0.001215361],"domain_scores_gemma":[0.9593419,0.001179803,0.001178519,0.001032765,0.03505928,0.002207761],"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":[0.00002678009,0.000007514915,0.001007316,0.0002543962,0.00002125542,0.0000063436,0.00002284647,0.00009140375,0.000008698876,0.0003542694,0.9963744,0.001824653],"study_design_scores_gemma":[0.0001884731,0.00001750072,0.02929191,0.001065837,0.0000912231,0.00003321967,0.0006648221,0.0005742001,0.0002088498,0.0006594921,0.9670966,0.0001077969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006282222,0.00007063724,0.00002811578,0.0001854094,0.00004511945,0.00002259713,0.9982237,0.00008397664,0.001277627],"genre_scores_gemma":[0.001166914,0.0004878283,0.0005208467,0.0002524808,0.00002895704,0.0001737414,0.9900945,0.0001814724,0.007093283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1051439,"threshold_uncertainty_score":0.5018454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114029064848802,"score_gpt":0.259401046975917,"score_spread":0.228260756327429,"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."}}