{"id":"W2978918162","doi":"10.1377/hlthaff.2019.00618","title":"Linking Public Safety And Public Health Data For Firearm Suicide Prevention In Utah","year":2019,"lang":"en","type":"article","venue":"Health Affairs","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Legislature; Suicide prevention; Occupational safety and health; Poison control; Injury prevention; Public health; Harm; Gun violence; Possession (linguistics); Medicine; Gun control; Human factors and ergonomics; Medical emergency; Health care; Environmental health; Political science; Nursing; Law","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":[0.008937055,0.0001737977,0.0002008291,0.00218062,0.003572243,0.002229369,0.001441917,0.0008769158,0.001481574],"category_scores_gemma":[0.02565248,0.0002389989,0.0002744534,0.00313672,0.001419871,0.001547001,0.007383994,0.001200733,0.000139195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385068,"about_ca_system_score_gemma":0.01902612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2862399,"about_ca_topic_score_gemma":0.4245425,"domain_scores_codex":[0.9927309,0.003912317,0.000487167,0.0005590246,0.001573286,0.00073731],"domain_scores_gemma":[0.9831108,0.007126131,0.002693865,0.001609372,0.003948238,0.001511677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007177691,0.0003700174,0.8577909,0.0003051757,0.0001212335,0.001046014,0.03243423,0.001013832,0.001256793,0.003714043,0.01342577,0.08845009],"study_design_scores_gemma":[0.00004962891,0.0002942694,0.8299431,0.001133729,0.0001493135,0.0003875677,0.08340544,0.004232915,0.001586149,0.005056104,0.07366914,0.00009264857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595656,0.0009656694,0.003381269,0.01558486,0.0001016552,0.0005964073,0.002437428,0.0001800418,0.01718695],"genre_scores_gemma":[0.9890094,0.0004726473,0.005407976,0.001753724,0.00004363357,0.0003463863,0.00146971,0.00001821419,0.001478381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2862399,"threshold_uncertainty_score":0.5691475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281959856028952,"score_gpt":0.4570209096869678,"score_spread":0.2288249240840727,"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."}}