{"id":"W80523290","doi":"","title":"Impact of law enforcement activities on risk of firearm deaths in Brazil","year":2006,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Law enforcement; Ordinary least squares; Enforcement; Drug trafficking; De facto; Geography; Criminology; Political science; Economics; Law; Sociology; Econometrics","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":[0.0001974002,0.00005749813,0.00008987015,0.0001073305,0.00006055144,0.00003673642,0.00006803501,0.0000383151,0.000274174],"category_scores_gemma":[0.00001511297,0.00005306213,0.00006940027,0.0000380395,0.00006506365,0.000179663,0.00000837425,0.0000631181,0.000001086459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006509324,"about_ca_system_score_gemma":0.00002741099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04922704,"about_ca_topic_score_gemma":0.001724842,"domain_scores_codex":[0.999337,0.00005060167,0.0002084233,0.0001015138,0.0002288246,0.0000736334],"domain_scores_gemma":[0.9995729,0.0001228594,0.0001316164,0.00005334147,0.0001030484,0.00001618798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000475958,0.00008669183,0.01439891,0.000002196101,0.00001063239,1.129934e-7,0.0007700059,0.6851187,0.00004670265,0.2987339,0.000002154397,0.0007824759],"study_design_scores_gemma":[0.0002940886,0.0001633408,0.009494981,0.0001225904,0.000006232551,3.488064e-8,0.0002114838,0.9701744,0.0002519004,0.01911144,0.0001073743,0.00006215421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117955,0.000007091819,0.01566691,0.00003063579,0.00005019089,0.00006746968,0.000037329,0.000005986204,0.07233888],"genre_scores_gemma":[0.9994758,0.00006116401,0.00005852136,0.000005663558,0.00003676926,0.000002602353,0.00001640982,0.000003037596,0.0003400393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2850557,"threshold_uncertainty_score":0.9571043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006066289264769,"score_gpt":0.421714372622391,"score_spread":0.3211077436959141,"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."}}