{"id":"W4386565332","doi":"10.1097/01.eem.0000578568.17308.cf","title":"Special Report","year":2019,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Trauma center; Medicine; Emergency department; Revenue; Quarter (Canadian coin); Health insurance; Medical emergency; Emergency medicine; Patient Protection and Affordable Care Act; Health care; Family medicine; Business; Political science; Finance; Nursing; Retrospective cohort study; Surgery; Law; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002279504,0.0002517509,0.0005877322,0.0001494758,0.00007154954,0.000001004566,0.0001113872,0.00008895377,0.0925363],"category_scores_gemma":[0.0003141384,0.0001822322,0.0001970996,0.0004368733,0.00007227068,0.0000697397,0.00004743701,0.0002372718,0.00176715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004601054,"about_ca_system_score_gemma":0.00007015247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004033654,"about_ca_topic_score_gemma":0.0001517422,"domain_scores_codex":[0.9977171,0.00002387103,0.0008037625,0.0004698515,0.0005908965,0.0003945655],"domain_scores_gemma":[0.9987696,0.00001744313,0.0001414124,0.0006426785,0.0002082214,0.0002205775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000717348,0.00005417526,0.2112983,0.00008377535,0.00009377526,0.0001487906,0.0007122837,5.822519e-7,0.001703015,0.0003501489,0.7795528,0.005930569],"study_design_scores_gemma":[0.001006101,0.000434067,0.1780835,0.0000730624,0.0001202714,0.0001950095,0.000944312,0.000003433339,0.00008079773,0.0001630539,0.8187294,0.0001670268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2654608,0.0009378894,0.00002173184,0.005427147,0.0222617,0.0003882924,0.000001480993,0.0001076128,0.7053934],"genre_scores_gemma":[0.513055,0.003195001,0.0002306503,0.0007721158,0.06602836,0.00004687969,0.0001197018,0.00009139282,0.4164609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2889324,"threshold_uncertainty_score":0.9990101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867144017350187,"score_gpt":0.3377337697201822,"score_spread":0.2990623295466803,"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."}}