{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01151781,0.0001029569,0.0002859537,0.0002239654,0.0006349751,0.0001851542,0.0005207415,0.0001085486,0.00009233136],"category_scores_gemma":[0.0007233059,0.0000998693,0.00003351931,0.000564387,0.0001204728,0.0007597627,0.0001793855,0.0002686775,0.00002941952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851778,"about_ca_system_score_gemma":0.004018913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008379505,"about_ca_topic_score_gemma":0.05488855,"domain_scores_codex":[0.9965062,0.0007553268,0.0004337296,0.000501424,0.0004950451,0.001308306],"domain_scores_gemma":[0.9982855,0.0003788044,0.0001825706,0.0004568951,0.00008093315,0.0006153043],"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":[0.00006432253,0.0002169149,0.2838629,0.0008731686,0.00001174291,9.046907e-7,0.01040854,0.000001965859,0.000002259219,0.04952876,0.002187987,0.6528405],"study_design_scores_gemma":[0.002093476,0.0006741804,0.06381461,0.0006949659,0.000002371113,0.000002263121,0.07674097,0.002806322,7.800689e-7,0.00406271,0.8487455,0.0003618197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1752186,0.009873953,0.003549564,0.7844712,0.001247647,0.009608899,0.0002704839,0.0003335063,0.01542617],"genre_scores_gemma":[0.9933736,0.004428655,0.0005779276,0.000604559,0.0001556616,0.0000332677,0.000240491,0.00001541854,0.0005704279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465576,"threshold_uncertainty_score":0.9982238,"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."}}