{"id":"W6939086598","doi":"10.6068/dp14ba7bdf0569","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Crime and Justice - Crimes and Offenses | Country: Canada | Table: Homicide survey, victims and persons accused of homicide, by age group and sex | Variable: 0 to 11 years, Both sexes | Units: #, 1974-2012. 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; Crime statistics; Criminal justice; Economic Justice; Economic statistics; Summary 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002361625,0.002375911,0.002796707,0.009639154,0.003410563,0.005187697,0.00532766,0.00148868,0.1065205],"category_scores_gemma":[0.02097507,0.002177098,0.00230839,0.04166463,0.0006670693,0.002894054,0.002500691,0.003315417,0.06545175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05836436,"about_ca_system_score_gemma":0.1627529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951831,"about_ca_topic_score_gemma":0.9927195,"domain_scores_codex":[0.9950584,0.0003171966,0.0005496457,0.0005653556,0.002362535,0.001146839],"domain_scores_gemma":[0.9604284,0.001281637,0.0011087,0.001086915,0.03422682,0.001867588],"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":[0.00001961673,0.000005637165,0.0007495497,0.0002247017,0.00001771245,0.000005537688,0.00001929009,0.00008629626,0.000008094819,0.0003392645,0.9968273,0.001697051],"study_design_scores_gemma":[0.0001422049,0.00001213838,0.02190162,0.0008559824,0.00006944035,0.00002627645,0.0004419301,0.0003904472,0.0001670205,0.0006661364,0.9752427,0.00008411639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754221,0.00005880329,0.00003295732,0.0001458549,0.00003781979,0.000021733,0.9983584,0.00008255608,0.001214231],"genre_scores_gemma":[0.0008975213,0.0003992367,0.0005683962,0.0002107464,0.00002563282,0.000171585,0.9911561,0.0001762762,0.006394445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1065205,"threshold_uncertainty_score":0.4234651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268667469545845,"score_gpt":0.2595205534882307,"score_spread":0.2268338787927722,"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."}}