{"id":"W6957841015","doi":"10.6068/dp14ba7b56d1119","title":"Trend 1961 - 2012. Statistics Canada. CANSIM: Crime and Justice - Crimes and Offenses | Country: Canada | Table: Homicide survey, number and rates | Variable: Homicide survey, number and rates | Units: , 1961-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-040.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homicide; Official statistics; Census; Law enforcement; Economic statistics; Criminal justice; Crime statistics; Economic Justice","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":[0.002652161,0.002404339,0.002739089,0.00951784,0.003351627,0.005078878,0.005297667,0.00156223,0.1193139],"category_scores_gemma":[0.02300537,0.002078394,0.002181146,0.04075815,0.0006837333,0.002835424,0.002554008,0.003310976,0.07399631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06078304,"about_ca_system_score_gemma":0.1611595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943505,"about_ca_topic_score_gemma":0.991582,"domain_scores_codex":[0.9947513,0.0003813791,0.0005742999,0.0006161662,0.002533503,0.001143303],"domain_scores_gemma":[0.9589846,0.001519965,0.001214215,0.001221169,0.03501396,0.002046149],"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":[0.00001712389,0.000004961313,0.0005994146,0.0002077482,0.00001601599,0.000004779113,0.00001839593,0.000082159,0.000007299763,0.0003143157,0.997174,0.001553628],"study_design_scores_gemma":[0.0001375961,0.00001187294,0.02009433,0.0008801279,0.00006709864,0.00002540724,0.0003983626,0.0003830181,0.0001500041,0.0007014533,0.9770667,0.00008408137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000415649,0.00005670693,0.00003259655,0.0001576471,0.00003599242,0.00002190538,0.9983692,0.00008884777,0.001195545],"genre_scores_gemma":[0.0008415757,0.0003720582,0.0005859259,0.000236113,0.00002619315,0.0001885002,0.9910433,0.0001981078,0.006508209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1193139,"threshold_uncertainty_score":0.4410139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955421374193135,"score_gpt":0.2823816830170326,"score_spread":0.2428274692751013,"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."}}