{"id":"W4396853256","doi":"10.1371/journal.pone.0302888","title":"Characterizing medical patients with delirium: A cohort study comparing ICD-10 codes and a validated chart review method","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; St. Michael's Hospital; Trillium Health Centre; University of Toronto; University Health Network","funders":"National Institute on Aging; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Department of Psychiatry, University of Toronto; Medical Psychiatry Alliance; Canadian Frailty Network; University of Toronto; Canadian Cancer Society","keywords":"Delirium; Medicine; Chart; Medical record; Retrospective cohort study; Emergency medicine; Comorbidity; Diagnosis code; Cohort study; Cohort; Acute care; Intensive care medicine; Internal medicine; Health care; Population; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006551835,0.0002334912,0.0008311174,0.0001506359,0.00006275039,0.00003972116,0.00007640662,0.00006489698,0.0004979203],"category_scores_gemma":[0.004122751,0.0001780369,0.0000481518,0.0003231203,0.00008379632,0.00009437287,0.00009052258,0.0004155104,0.00007344637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005350839,"about_ca_system_score_gemma":0.0001007144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003402904,"about_ca_topic_score_gemma":0.00001398762,"domain_scores_codex":[0.9977776,0.0001941604,0.0003495493,0.000470229,0.0009419036,0.0002665208],"domain_scores_gemma":[0.9947217,0.0002159831,0.00006321711,0.0002279843,0.004550035,0.0002210481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004472448,0.003733055,0.9743243,0.00678606,0.00451629,0.0004518589,0.001016482,1.646844e-8,0.002751948,0.00002122007,0.002724395,0.003227164],"study_design_scores_gemma":[0.006729372,0.003433415,0.8655718,0.1017678,0.01171008,0.00009117313,0.002392346,0.002074362,0.004079245,0.000007251055,0.001214715,0.0009284588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890968,0.002973705,0.0002704652,0.003663777,0.00004103162,0.002584571,0.00002279845,0.0001792394,0.001167582],"genre_scores_gemma":[0.9746223,0.001244008,0.0009142339,0.02214741,0.00007386793,0.0002242573,0.0004340094,0.00006950436,0.0002704035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1087525,"threshold_uncertainty_score":0.7260134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446406956507986,"score_gpt":0.3155623539455107,"score_spread":0.2710982843804309,"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."}}