{"id":"W3159252150","doi":"10.14740/jocmr4476","title":"A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Comorbidity; Intensive care unit; Odds ratio; Confidence interval; Mechanical ventilation; Coronavirus disease 2019 (COVID-19); Internal medicine; Emergency department; Observational study; Retrospective cohort study; Emergency medicine; Logistic regression; Multivariate analysis; Severity of illness; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230781,0.0004506799,0.0004973779,0.002201907,0.0003004284,0.0006950002,0.0002869137,0.0002680112,0.000950226],"category_scores_gemma":[0.005018044,0.0001448488,0.0006562562,0.001463495,0.0001981185,0.000398908,0.0009301002,0.0003549866,0.0001478086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000691704,"about_ca_system_score_gemma":0.0006422321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007269412,"about_ca_topic_score_gemma":0.009351065,"domain_scores_codex":[0.9992072,0.0002566409,0.0001971029,0.00007776119,0.000169964,0.00009132952],"domain_scores_gemma":[0.9966356,0.0005159082,0.001910466,0.00009527372,0.0004538494,0.0003888983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006427422,0.00001115584,0.9985415,0.000008023362,0.00002806562,0.00001638176,0.000009006905,0.0001252246,0.00004190616,0.000009283886,0.0001112913,0.001033858],"study_design_scores_gemma":[0.0000105133,0.00007646676,0.9971266,0.00001208972,0.00002316445,0.0001187295,0.00004626847,0.002386926,0.00004506031,0.00002566358,0.0001247658,0.00000379878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975201,0.0003000992,0.0003499962,0.00006615336,0.00001135996,0.00003769111,0.001210532,0.000006296636,0.0004977027],"genre_scores_gemma":[0.9970431,0.0001261508,0.0006479322,0.00001384916,0.00001621449,0.00002379853,0.002061016,0.000001090973,0.0000669517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007269412,"threshold_uncertainty_score":0.01445419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4872187540103462,"score_gpt":0.6561859040292044,"score_spread":0.1689671500188582,"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."}}