{"id":"W2125818355","doi":"10.1177/1088767912442500","title":"A World of Homicides","year":2012,"lang":"en","type":"article","venue":"Homicide Studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Homicide; Poverty; Socioeconomic status; Inequality; Developing country; Poison control; Human factors and ergonomics; Injury prevention; Economic inequality; Demographic economics; Suicide prevention; Economics; Demography; Environmental health; Medicine; Economic growth; Mathematics; Sociology; Population","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":[0.001257096,0.0003144718,0.0003751068,0.001382882,0.00242352,0.002540686,0.0004619996,0.0009205512,0.008067542],"category_scores_gemma":[0.004831287,0.0001677058,0.0002794123,0.002032967,0.002762628,0.002600045,0.002635062,0.001607754,0.001355961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007373604,"about_ca_system_score_gemma":0.000724966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034797,"about_ca_topic_score_gemma":0.002899409,"domain_scores_codex":[0.9980958,0.001048129,0.0001221612,0.0002819391,0.0002635876,0.000188388],"domain_scores_gemma":[0.9975466,0.0005134814,0.0008723066,0.0003644835,0.0003590659,0.0003441967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001876505,0.0001834826,0.1726096,0.0008376724,0.0003862031,0.003175218,0.02039119,0.001038108,0.001377134,0.239394,0.129687,0.4307329],"study_design_scores_gemma":[0.00001819049,0.0003683414,0.1310909,0.001555866,0.00008867228,0.009226819,0.03919487,0.0005649535,0.0006329407,0.0723957,0.7447513,0.0001114815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5736637,0.05063568,0.01092768,0.1015943,0.003200646,0.0001568808,0.002433527,0.0002898674,0.2570978],"genre_scores_gemma":[0.9313924,0.02769891,0.003760808,0.01623236,0.001492206,0.00009198356,0.0008143702,0.00008199175,0.01843493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008067542,"threshold_uncertainty_score":0.02698863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2323683880087213,"score_gpt":0.4940240610374793,"score_spread":0.261655673028758,"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."}}