{"id":"W6926562177","doi":"10.25318/3510007501-eng","title":"Number, percentage and rate of gang-related homicide victims","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homicide; Poison control; Injury prevention; Occupational safety and health; Suicide prevention","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":[0.0006969921,0.001267511,0.001214416,0.004803254,0.0008012432,0.00163062,0.002364048,0.00121863,0.01634685],"category_scores_gemma":[0.00634993,0.0005453419,0.001182463,0.01084212,0.0003956538,0.0007034658,0.0008800208,0.001541215,0.01507275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006289332,"about_ca_system_score_gemma":0.01018273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8080221,"about_ca_topic_score_gemma":0.8676385,"domain_scores_codex":[0.9992574,0.00004983653,0.0001178109,0.0001732972,0.0002337078,0.0001679943],"domain_scores_gemma":[0.9955462,0.0007024764,0.0003987784,0.0003059921,0.002715435,0.0003310158],"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":[0.00005841724,0.00002047406,0.009162381,0.0006216488,0.00005737691,0.00002345036,0.00002458406,0.0005218156,0.00003570062,0.0002591799,0.9865046,0.002710357],"study_design_scores_gemma":[0.0005099596,0.00002620278,0.1523561,0.001170121,0.0001729069,0.0001768451,0.0004138369,0.002541522,0.0004260238,0.0007961214,0.8413168,0.0000935065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002498986,0.00006913296,0.00001269992,0.00004250389,0.000008381965,0.000004430296,0.999353,0.00003343934,0.0002264745],"genre_scores_gemma":[0.001154434,0.0001456958,0.00009541912,0.0000332437,0.000005333163,0.00003338081,0.997911,0.00001236514,0.0006090605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1919779,"threshold_uncertainty_score":0.3862169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00343323298270015,"score_gpt":0.216144885304607,"score_spread":0.2127116523219068,"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."}}