{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420409,0.0002306211,0.0003637379,0.0008678875,0.0002805443,0.001128645,0.0003595537,0.0003517391,0.002572509],"category_scores_gemma":[0.01304135,0.0002692229,0.0007116087,0.0006145835,0.0004724987,0.0004532252,0.0008236392,0.0004945566,0.0001438782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029484,"about_ca_system_score_gemma":0.0009493975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05178232,"about_ca_topic_score_gemma":0.04792148,"domain_scores_codex":[0.9991036,0.000405984,0.00006627771,0.0001192617,0.0001472245,0.0001576357],"domain_scores_gemma":[0.9919702,0.004560722,0.002249837,0.0003880956,0.0004659822,0.0003650289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008897998,0.0001157401,0.9853773,0.00003671552,0.000191014,0.0001814233,0.0003260099,0.00484882,0.0003565423,0.001454917,0.0001020211,0.006920562],"study_design_scores_gemma":[0.00001790204,0.0001851895,0.9757921,0.0000725744,0.0001866304,0.000272319,0.0008655716,0.02036275,0.0003892799,0.001068652,0.0007706038,0.00001638409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966883,0.0003168209,0.0003218324,0.0002773258,0.000002703786,0.00001340715,0.0002121963,0.000009783416,0.00215757],"genre_scores_gemma":[0.9994875,0.0001579764,0.0000740374,0.000009497777,0.000001401588,0.000003144299,0.00006311243,0.000002053537,0.0002012125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05178232,"threshold_uncertainty_score":0.1029618,"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."}}