{"id":"W6920240891","doi":"10.6068/dp14ba814e64f17","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: System-based agencies, Crisis counselling | 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":[0.002475011,0.002609717,0.003022139,0.009762044,0.003779593,0.006011195,0.005630791,0.00163048,0.1081687],"category_scores_gemma":[0.02017836,0.002365584,0.002490843,0.04181387,0.000707872,0.003045035,0.002926472,0.003392704,0.06279288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07351159,"about_ca_system_score_gemma":0.1888858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962853,"about_ca_topic_score_gemma":0.9943731,"domain_scores_codex":[0.9946787,0.0003229352,0.0005597842,0.0005789781,0.002586875,0.001272736],"domain_scores_gemma":[0.956785,0.001235176,0.001205831,0.001090021,0.03734125,0.002342766],"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":[0.00002643069,0.000007816481,0.0009681641,0.0002409903,0.00002037992,0.000006114502,0.00002288976,0.00009343971,0.000008604577,0.0003622728,0.9964105,0.001832215],"study_design_scores_gemma":[0.0001786868,0.00001716436,0.02828543,0.001005296,0.00008630277,0.00003064326,0.0006743836,0.0005635092,0.0002134426,0.0006511461,0.9681876,0.0001063328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006518327,0.00006942337,0.0000297131,0.0001930169,0.00004627002,0.00002421893,0.9980839,0.00008961025,0.001398662],"genre_scores_gemma":[0.00120036,0.0004811727,0.0005507221,0.0002629343,0.00002946822,0.0001850341,0.989244,0.0001928172,0.007853453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1081687,"threshold_uncertainty_score":0.5333664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468645716030848,"score_gpt":0.2331798093080659,"score_spread":0.2084933521477574,"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."}}