{"id":"W4223542091","doi":"10.1177/08404704221077189","title":"Race-based data collection among COVID-19 inpatients: A retrospective chart review","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ethnic group; Medicine; Coronavirus disease 2019 (COVID-19); Race (biology); Retrospective cohort study; Medical record; Data collection; Family medicine; Emergency medicine; Demography; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001777878,0.0003215496,0.0006977237,0.0005651906,0.001312852,0.00003096983,0.0004871478,0.00008015899,0.001303791],"category_scores_gemma":[0.0006337448,0.0003348126,0.0001415439,0.001812778,0.00007250164,0.0001997373,0.000953239,0.0007070549,0.00004469446],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004813763,"about_ca_system_score_gemma":0.001535404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490631,"about_ca_topic_score_gemma":0.00195756,"domain_scores_codex":[0.9954925,0.0004595163,0.0007624376,0.001059064,0.001325249,0.000901252],"domain_scores_gemma":[0.996434,0.0001005832,0.0004062063,0.001953505,0.0001811332,0.0009245097],"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":[0.0007385892,0.0004631443,0.2614883,0.02202388,0.0001375973,0.0003297386,0.0002856895,0.00001862033,9.472758e-7,0.001277522,0.6986767,0.01455929],"study_design_scores_gemma":[0.003285368,0.001857536,0.1107963,0.001416956,0.0002368996,0.000029397,0.001194598,0.001228847,0.00000221665,0.0002601077,0.8793456,0.0003461559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005930096,0.01587791,0.002549797,0.9561053,0.001633309,0.01327738,0.0006962821,0.0007770101,0.003152939],"genre_scores_gemma":[0.6013228,0.009674062,0.0004659253,0.3800819,0.0001543334,0.001383975,0.003191911,0.00009293757,0.003632151],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5953927,"threshold_uncertainty_score":0.9999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09680972270236389,"score_gpt":0.4102929930233851,"score_spread":0.3134832703210212,"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."}}