{"id":"W6920310115","doi":"10.6068/dp14baa3a49a699","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Crime and Justice - Victims and Victimization | Country: Canada | Province: Northwest Territories | Table: Homicide survey, number and rates | Variable: Homicide survey, number and rates | Units: , 1999-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-045.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homicide; Official statistics; Law enforcement; Crime statistics; Census; Criminal justice; Economic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002572152,0.001909451,0.002285453,0.0001840328,0.0005930254,0.001592871,0.001519479,0.0009316464,0.001951545],"category_scores_gemma":[0.0007649341,0.001893049,2.808837e-7,0.0006378108,0.001150769,0.001678766,0.001510296,0.001269869,0.00005456964],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004661988,"about_ca_system_score_gemma":0.01657023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999658,"about_ca_topic_score_gemma":0.9999675,"domain_scores_codex":[0.9903134,0.002243686,0.001635109,0.002731152,0.001498636,0.001578076],"domain_scores_gemma":[0.9890288,0.004681095,0.001526828,0.002920362,0.0003998788,0.001443047],"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":[0.0005576084,0.00009362872,0.02040803,0.00127662,0.0005582357,0.0004607152,0.000008728634,0.00002166079,0.000003821687,0.0001411222,0.9764217,0.00004808737],"study_design_scores_gemma":[0.00203977,0.00008706067,0.003090249,0.0001151513,0.00167771,0.0008665546,0.0002280395,0.003402919,1.277076e-7,5.237738e-7,0.9863284,0.002163555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001713064,0.006172593,0.00001435207,0.000002757916,0.001247204,0.001368775,0.9899955,0.0001547464,0.00102688],"genre_scores_gemma":[0.0001123418,0.003752706,0.0004725417,0.0001992773,0.0004446478,0.0000319149,0.991756,0.0008589381,0.00237165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01731778,"threshold_uncertainty_score":0.9994436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143717754755421,"score_gpt":0.2602483197515222,"score_spread":0.238811142203968,"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."}}