{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004203476,0.00005734651,0.000162175,0.00008154749,0.0001990449,0.000008565,0.00009285961,0.00001519108,0.0006680531],"category_scores_gemma":[0.0001593821,0.00005016889,0.0001053592,0.0001467896,0.0002816633,0.000144736,0.00005733264,0.00004014215,0.00006295123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004364914,"about_ca_system_score_gemma":0.00001247581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055608,"about_ca_topic_score_gemma":0.004262458,"domain_scores_codex":[0.9993495,0.00006189378,0.0001731451,0.00006537375,0.0001173239,0.0002327575],"domain_scores_gemma":[0.9995989,0.0001157811,0.00007435461,0.00008880148,0.00007685191,0.00004528338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009169808,0.0001254297,0.8285218,0.00003038132,0.0001483299,4.204573e-7,0.04790779,8.0564e-7,0.0007706321,0.07043197,0.04696775,0.005085466],"study_design_scores_gemma":[0.0004077737,0.00006336258,0.5482916,0.0002524091,0.000135398,8.878206e-7,0.1354538,0.000001683649,0.01083864,0.004754109,0.299461,0.0003393507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903575,0.00887736,0.000044871,0.0007801665,0.0006596,0.0001000967,0.000006115743,0.00003530386,0.0859215],"genre_scores_gemma":[0.9932169,0.0003671253,0.0002092071,0.00007281209,0.0002883362,0.000008405315,5.143147e-7,0.000004968164,0.005831677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802303,"threshold_uncertainty_score":0.7314713,"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."}}