{"id":"W6958174866","doi":"10.6068/dp14baa2f4d4020","title":"Trend 1961 - 2012. Statistics Canada. CANSIM: Crime and Justice - Victims and Victimization | Country: Canada | Province: Yukon | 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: 075-001-045.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homicide; Official statistics; Law enforcement; Crime statistics; Criminal justice; Census; Economic statistics; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008046532,0.0006562379,0.0007799165,0.00006229874,0.0001538936,0.0005180063,0.0005246869,0.00027023,0.000512616],"category_scores_gemma":[0.0001798316,0.0006523329,1.374562e-7,0.0002184451,0.0001984513,0.0005557885,0.0004424618,0.0005715222,0.00001055435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391739,"about_ca_system_score_gemma":0.002559139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982292,"about_ca_topic_score_gemma":0.9959709,"domain_scores_codex":[0.9970557,0.0003093199,0.0005253527,0.0008097695,0.0005373817,0.0007624757],"domain_scores_gemma":[0.9966062,0.001463288,0.0001733669,0.001017121,0.00009568965,0.0006442942],"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":[0.0000644309,0.00002104296,0.0006442627,0.0009330132,0.0002127295,0.000100129,0.000003196012,0.0005362927,0.00001841317,0.000100683,0.9971807,0.0001850828],"study_design_scores_gemma":[0.000618913,0.00002595227,0.0005397128,0.00004746379,0.0002266449,0.00009562411,0.00003699068,0.08681276,3.577451e-7,0.000001149265,0.9108922,0.0007022537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005876507,0.002711429,0.00008037315,0.000001439708,0.0003305436,0.0004440865,0.9954439,0.00008313144,0.0008463008],"genre_scores_gemma":[0.0009183108,0.003177169,0.0002451199,0.00004607511,0.0001320053,0.00001186738,0.9946826,0.0002491701,0.0005377269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08628855,"threshold_uncertainty_score":0.9995928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025972278669779,"score_gpt":0.2488577995438672,"score_spread":0.2285980767571694,"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."}}