{"id":"W2342150320","doi":"10.1097/ta.0000000000001070","title":"Prehospital traumatic cardiac arrest","year":2016,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Medicine; Penetrating trauma; Blunt trauma; Confidence interval; Major trauma; Cardiopulmonary resuscitation; Odds ratio; Intubation; Resuscitation; Airway management; Emergency medical services; Injury Severity Score; Emergency medicine; Advanced life support; Logistic regression; Blunt; Surgery; Poison control; Internal medicine; Injury prevention","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004410475,0.0001334078,0.0003126894,0.00009145942,0.0001887542,0.00002978141,0.00005077051,0.00009086705,0.00004487823],"category_scores_gemma":[0.0004309164,0.00006545243,0.0002548973,0.0001123867,0.0003043075,0.0002004198,0.00001538215,0.0002309931,0.00001084575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007583939,"about_ca_system_score_gemma":0.00006714594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591886,"about_ca_topic_score_gemma":0.000009790657,"domain_scores_codex":[0.9988474,0.0001518547,0.0003696335,0.0000973893,0.000341889,0.0001918501],"domain_scores_gemma":[0.9986725,0.0003671836,0.00008208081,0.0001533783,0.0005276228,0.0001972235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003444309,0.0007018144,0.6299543,0.002355556,0.001060889,0.0000874055,0.02116241,0.000008166279,0.01705845,0.007286452,0.02756407,0.2893162],"study_design_scores_gemma":[0.001570156,0.00197564,0.9776981,0.0006682773,0.001259697,0.0001605028,0.003767434,0.00000251524,0.002564481,0.002093615,0.008021723,0.0002178398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904018,0.001469526,0.000577973,0.002611899,0.003432174,0.0001673859,0.00001622047,0.00002148266,0.001301518],"genre_scores_gemma":[0.9977934,0.0005819816,0.00004605866,0.00008639497,0.00143869,0.000003097049,0.000001346613,0.00001604873,0.00003293467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3477438,"threshold_uncertainty_score":0.2669073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189148742567401,"score_gpt":0.3001881616879671,"score_spread":0.2882966742622931,"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."}}