{"id":"W2070443949","doi":"10.1590/s0034-89102009000500001","title":"Homicide and impunity: an ecological analysis at state level in Brazil","year":2009,"lang":"en","type":"article","venue":"Revista de Saúde Pública","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Impunity; Homicide; Criminology; Geography; Ecological study; State (computer science); Political science; Poison control; Ecology; Suicide prevention; Environmental health; Demography; Sociology; Medicine; Biology; Law; Computer science; Human rights","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135039,0.0002294997,0.0004628559,0.002067579,0.0005040096,0.0006223779,0.0004240953,0.0002467696,0.0007296831],"category_scores_gemma":[0.004565604,0.0002561414,0.0006128305,0.002008252,0.0006037257,0.0004516065,0.001003177,0.0002861275,0.0000647948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009301176,"about_ca_system_score_gemma":0.0008065988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06178091,"about_ca_topic_score_gemma":0.09901586,"domain_scores_codex":[0.9993238,0.0002491617,0.00007214854,0.0001391766,0.0001163047,0.00009940711],"domain_scores_gemma":[0.997309,0.0006232324,0.001389487,0.0001707719,0.0003265833,0.0001809865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001222441,0.00001819296,0.9961933,0.00002625056,0.00005832245,0.00006210103,0.0006804041,0.00007716182,0.0001700093,0.0001184376,0.00004839123,0.002535293],"study_design_scores_gemma":[0.000001530065,0.0000245457,0.9982993,0.00003112291,0.00002600794,0.0001320067,0.0007483927,0.0004377213,0.00003092368,0.00007976939,0.0001846045,0.000004074429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983907,0.0003913277,0.0001997669,0.0001121669,0.000002137381,0.00001537719,0.0003231668,0.000005277337,0.0005600562],"genre_scores_gemma":[0.9994456,0.0001614775,0.0001931916,0.000008176905,0.000002038855,0.000007686284,0.000139047,0.000001573712,0.00004106107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06178091,"threshold_uncertainty_score":0.1228426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06538109881119629,"score_gpt":0.3989452825938452,"score_spread":0.3335641837826488,"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."}}