{"id":"W6901607997","doi":"10.6068/dp14ba81fe1b066","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: Community-based agencies, Victim notification | 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; Census; Economic 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":[0.002496206,0.002606033,0.003069987,0.009758307,0.003759362,0.005927863,0.005675847,0.001612512,0.1070266],"category_scores_gemma":[0.02045201,0.002376007,0.002500199,0.04203094,0.0007018637,0.003049642,0.002852262,0.003395483,0.06243477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07255873,"about_ca_system_score_gemma":0.1883102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962488,"about_ca_topic_score_gemma":0.9943399,"domain_scores_codex":[0.9946885,0.0003279163,0.0005733258,0.0005855488,0.002573858,0.001250892],"domain_scores_gemma":[0.9564018,0.001257203,0.001215909,0.001100712,0.03768897,0.002335412],"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":[0.00002645509,0.000007649796,0.0009716155,0.0002413165,0.00002044684,0.000006120374,0.00002265555,0.00009272269,0.000008692412,0.0003670406,0.9964082,0.001827013],"study_design_scores_gemma":[0.0001815172,0.00001753833,0.02817859,0.001007827,0.00008759,0.00003137513,0.0006555232,0.0005728164,0.0002123663,0.0006665787,0.9682811,0.0001071923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006439175,0.00006967377,0.00003102645,0.0001891352,0.00004662755,0.00002455677,0.9980956,0.00009147131,0.001387533],"genre_scores_gemma":[0.001176976,0.0004811447,0.0005603852,0.0002578727,0.00002919383,0.0001835981,0.9895568,0.0001937927,0.007560188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1070266,"threshold_uncertainty_score":0.5264529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703099096843381,"score_gpt":0.247741339902125,"score_spread":0.2107103489336912,"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."}}