{"id":"W3136561289","doi":"10.1164/rccm.202012-4383oc","title":"Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models","year":2021,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Medicine; SOFA score; Receiver operating characteristic; Confidence interval; Triage; Emergency medicine; Internal medicine; Sepsis","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":[0.0009716486,0.000129358,0.0004992217,0.000172724,0.0002674567,0.00001219221,0.0001148481,0.00004958828,0.00009907736],"category_scores_gemma":[0.00125434,0.00009809742,0.00004722042,0.0002736311,0.0004629428,0.0002215033,0.0001116187,0.0005347266,0.00000105811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007586852,"about_ca_system_score_gemma":0.0001751196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007426243,"about_ca_topic_score_gemma":0.0001004018,"domain_scores_codex":[0.9971572,0.001046251,0.0008115216,0.0002029417,0.0004509249,0.0003311572],"domain_scores_gemma":[0.9984152,0.0005830564,0.0002195356,0.0001549361,0.0003909844,0.0002363263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001880694,0.0002847344,0.6701214,0.002632508,0.0002010544,0.002279852,0.2363777,0.00005687957,0.004939109,0.008062335,0.0005905482,0.07257322],"study_design_scores_gemma":[0.002270716,0.002268405,0.2428855,0.002727844,0.0002280881,0.00002622785,0.7428427,0.00006950985,0.00005798857,0.001344534,0.005074819,0.0002037026],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900323,0.003832998,0.0008356264,0.001106046,0.0003045083,0.0001010719,0.000008266673,0.000012776,0.003766393],"genre_scores_gemma":[0.9972368,0.0001206863,0.00007251525,0.001896278,0.0005983164,0.00001269281,0.000001223303,0.00001037504,0.00005112886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.506465,"threshold_uncertainty_score":0.4000297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09976158100128187,"score_gpt":0.4252651391641666,"score_spread":0.3255035581628847,"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."}}