{"id":"W2800510488","doi":"10.1007/s40719-018-0127-1","title":"Quality Benchmarking in Trauma: from the NTDB to TQIP","year":2018,"lang":"en","type":"article","venue":"Current Trauma Reports","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Benchmarking; Standardization; Medicine; Trauma care; Medical emergency; Quality (philosophy); Quality management; Major trauma; Traumatology; Data collection; Rehabilitation; Emergency medicine; Operations management; Physical therapy; Business; Surgery; Engineering; Orthopedic surgery; Computer science","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":[0.0008698683,0.0002571761,0.0004732522,0.00009243749,0.0001893611,0.00002261801,0.0001219843,0.00007666589,0.0004918408],"category_scores_gemma":[0.0004079337,0.0001780668,0.0001986996,0.0004391836,0.0001533492,0.00007098682,0.0000828284,0.0003179899,0.00006329163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118105,"about_ca_system_score_gemma":0.00006510259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008788934,"about_ca_topic_score_gemma":0.002271353,"domain_scores_codex":[0.9973997,0.0001067032,0.0008910052,0.0006296056,0.0005131151,0.0004598059],"domain_scores_gemma":[0.9985992,0.0001375033,0.0001601791,0.000737793,0.0001802145,0.000185126],"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":[0.00009396083,0.000242665,0.3715692,0.00004218566,0.00006559391,0.0001557875,0.006127575,0.000001164167,0.0003123349,0.0001222258,0.0223055,0.5989618],"study_design_scores_gemma":[0.0003950281,0.0001237085,0.8735646,0.0002551768,0.00005260807,0.00004549589,0.000583745,0.000006433041,0.000708071,0.0004583643,0.1236045,0.0002022717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705442,0.001928693,0.0001814458,0.001685273,0.004888745,0.0005552385,0.00001418997,0.00009324446,0.02010902],"genre_scores_gemma":[0.997219,0.00007020056,0.0002371239,0.0002819673,0.001973168,0.00006733956,0.00004644057,0.00002336727,0.00008138412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5987595,"threshold_uncertainty_score":0.7261352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09626628023922443,"score_gpt":0.3930418883852752,"score_spread":0.2967756081460508,"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."}}