{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003870172,0.0002162527,0.0004090214,0.003823396,0.001186099,0.0008933226,0.000590564,0.0001992072,0.001076592],"category_scores_gemma":[0.011207,0.0004013329,0.0002443814,0.004812179,0.0006014374,0.0005764189,0.0007356195,0.0002819999,0.0002897326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003547663,"about_ca_system_score_gemma":0.007935647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1666842,"about_ca_topic_score_gemma":0.2258809,"domain_scores_codex":[0.9948305,0.001073653,0.001313088,0.0005531742,0.001801037,0.0004284712],"domain_scores_gemma":[0.9773726,0.002660464,0.01097116,0.001642337,0.006314991,0.001038615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005002543,0.00002172559,0.9948225,0.00006968086,0.00001734512,0.0001392332,0.0004801228,0.00001887059,0.0002500959,0.00002769443,0.0005845627,0.003518041],"study_design_scores_gemma":[0.000005201869,0.00004977398,0.9971098,0.00006324423,0.00002067392,0.0001709413,0.0005984475,0.00008322181,0.0002687079,0.000006878796,0.001617522,0.000005561669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801078,0.001212914,0.001047684,0.0002889148,0.0000243902,0.0009588622,0.01213494,0.00004591579,0.004178516],"genre_scores_gemma":[0.9880289,0.001040988,0.001564195,0.0001944814,0.0000320971,0.0004942401,0.008039691,0.0000158125,0.0005894677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1666842,"threshold_uncertainty_score":0.331428,"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."}}