{"id":"W2112591947","doi":"10.1016/j.injury.2007.03.028","title":"International comparison of prehospital trauma care systems","year":2007,"lang":"en","type":"article","venue":"Injury","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal General Hospital; McGill University Health Centre; St. Michael's Hospital","funders":"","keywords":"Medicine; Emergency medical services; Case fatality rate; Emergency medicine; Technician; Logistic regression; Injury Severity Score; Medical emergency; Revised Trauma Score; Emergency department; Poison control; Injury prevention; Epidemiology; Internal medicine; Nursing","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":[0.0000640208,0.00006894497,0.0001929455,0.00007026391,0.00002381759,0.000002799166,0.00005939626,0.00004446123,0.00005758409],"category_scores_gemma":[0.00002275409,0.0000588799,0.00007084494,0.00006556815,0.00004113042,0.00002806921,0.00001970213,0.00007784425,0.00001511512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000449857,"about_ca_system_score_gemma":0.00001252783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006986755,"about_ca_topic_score_gemma":0.00001670761,"domain_scores_codex":[0.9992836,0.000004933127,0.0002697934,0.0001006715,0.0002255987,0.0001154484],"domain_scores_gemma":[0.9996012,0.00001498264,0.00005414375,0.0001073807,0.0001795863,0.00004264746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004225221,0.0002371436,0.7647239,0.0002991268,0.0002818785,0.000017539,0.01063469,0.00000561039,0.004347034,0.0009131195,0.01519157,0.2029259],"study_design_scores_gemma":[0.0007709548,0.000773135,0.8007424,0.0001997806,0.00008779673,0.0000100565,0.02498344,0.00002683877,0.01961489,0.000007500288,0.1526335,0.0001496551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826616,0.002116496,0.00009733815,0.00008601299,0.001911212,0.0001270002,0.0000237724,0.00003554637,0.112941],"genre_scores_gemma":[0.9992171,0.00001819739,0.0001300622,0.00001271253,0.0003224327,0.000004014467,0.0000196421,0.000007986351,0.0002678749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2027762,"threshold_uncertainty_score":0.2401053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535737173267781,"score_gpt":0.3588052585957192,"score_spread":0.3334478868630413,"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."}}