{"id":"W4390903486","doi":"10.1097/ta.0000000000004249","title":"A decade of firearm injuries: Have we improved?","year":2024,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Gun Ownership and Violence Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Medicine; Injury prevention; Demographics; Demography; Poison control; Coronavirus disease 2019 (COVID-19); Occupational safety and health; Injury Severity Score; Mortality rate; Suicide prevention; Pandemic; Emergency medicine; Surgery; Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.006958614,0.0006765385,0.001369033,0.001477773,0.001462807,0.005195686,0.001911053,0.003011874,0.01623253],"category_scores_gemma":[0.03524204,0.0003060884,0.001174842,0.00309297,0.001700684,0.01258066,0.002612321,0.004951173,0.002685249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002606085,"about_ca_system_score_gemma":0.007615355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638171,"about_ca_topic_score_gemma":0.01481258,"domain_scores_codex":[0.9976653,0.0006102039,0.0003577344,0.0003943148,0.0004318877,0.0005405768],"domain_scores_gemma":[0.9847555,0.002553891,0.003850099,0.0009178119,0.003778618,0.004144105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008263036,0.0004515881,0.2962779,0.002557735,0.0004325438,0.0005458295,0.002319623,0.0008674491,0.0003040625,0.005877108,0.09673691,0.592803],"study_design_scores_gemma":[0.0001708921,0.001577205,0.6592282,0.01288596,0.0009542329,0.003136917,0.02395212,0.001439407,0.0007443067,0.02260328,0.2730054,0.0003020471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1601579,0.2114092,0.003417063,0.588968,0.01284208,0.0001052712,0.005763432,0.0006015309,0.01673542],"genre_scores_gemma":[0.7402918,0.156345,0.005554663,0.07493369,0.01242856,0.0001573742,0.004516887,0.0002194452,0.005552685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01638171,"threshold_uncertainty_score":0.05430317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654288097482333,"score_gpt":0.4062489829744581,"score_spread":0.3697061019996348,"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."}}