{"id":"W2604451323","doi":"10.1111/1556-4029.13499","title":"Trends in Officer‐involved Firearm Deaths in Oklahoma from 2000 to 2015","year":2017,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Officer; Medical examiner; Medicine; Law enforcement; Poison control; Occupational safety and health; Injury prevention; Suicide prevention; Medical emergency; Criminology; Law; Political science; Psychology; Pathology","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":[0.004541515,0.0001014962,0.0002832639,0.00075374,0.000630153,0.0004558867,0.001475423,0.0000889199,0.0002962793],"category_scores_gemma":[0.001164199,0.00007550723,0.0001006519,0.0008244981,0.0009799842,0.0008963385,0.00009479019,0.0002767465,0.00002849561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545454,"about_ca_system_score_gemma":0.0009111464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02844354,"about_ca_topic_score_gemma":0.1139569,"domain_scores_codex":[0.9973859,0.0001822686,0.0004006629,0.0002292852,0.001224965,0.0005769596],"domain_scores_gemma":[0.9987899,0.0002410217,0.0002929851,0.0002144977,0.0001555706,0.000306017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008842355,0.0001064316,0.7099817,0.000001931032,0.000007831122,0.0001246612,0.01937166,0.00007652659,0.0002849459,0.0007477365,0.004010698,0.2651974],"study_design_scores_gemma":[0.0006118266,0.0002884598,0.9713494,0.0002870445,0.00000577736,0.000002474421,0.01428215,0.0001769833,0.0003701716,0.004620403,0.007837261,0.0001680661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709287,0.0003609865,0.000004358094,0.01245008,0.0005713305,0.00006990299,0.000003213719,0.000004602606,0.01560677],"genre_scores_gemma":[0.9980417,0.0001625073,0.0007673207,0.0001042881,0.0003671906,0.000001740038,2.678446e-7,0.000003883502,0.0005511114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2650293,"threshold_uncertainty_score":0.9780262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093329388172275,"score_gpt":0.4335816811735407,"score_spread":0.3242487423563132,"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."}}