{"id":"W4310908203","doi":"10.1016/j.chest.2022.11.041","title":"Generalizability of Risk Stratification Algorithms for Exacerbations in COPD","year":2022,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Exacerbation; Medicine; Copd exacerbation; COPD; Generalizability theory; Receiver operating characteristic; Area under the curve; Risk stratification; Risk assessment; Intensive care medicine; Internal medicine; Emergency medicine; Algorithm; Statistics; Acute exacerbation of chronic obstructive pulmonary disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.1371962,0.001990496,0.003159483,0.00284865,0.001302362,0.006375086,0.002863467,0.003407072,0.005459225],"category_scores_gemma":[0.3830097,0.0009756334,0.005127498,0.00178434,0.001578626,0.005122845,0.004181867,0.004386927,0.001236016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641511,"about_ca_system_score_gemma":0.002366816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939979,"about_ca_topic_score_gemma":0.004031029,"domain_scores_codex":[0.9158382,0.05996897,0.006403902,0.009201322,0.007445831,0.001141774],"domain_scores_gemma":[0.6492013,0.2934007,0.009571322,0.03191211,0.01411909,0.001795321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01099638,0.0008627351,0.6519963,0.001228352,0.01206986,0.0002545288,0.001737128,0.03997317,0.001781498,0.00435736,0.01123393,0.2635087],"study_design_scores_gemma":[0.003986067,0.004522867,0.5042064,0.001529406,0.00991427,0.00102779,0.001595896,0.3935448,0.0024282,0.06660257,0.01027947,0.0003623557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.722874,0.01533898,0.2228599,0.01000285,0.002259949,0.003347476,0.005467412,0.002516771,0.01533268],"genre_scores_gemma":[0.9650388,0.0009482721,0.0280563,0.00173821,0.0003927563,0.0003099571,0.002578364,0.0002891588,0.0006482464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371962,"threshold_uncertainty_score":0.7255715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591197013467106,"score_gpt":0.338041880082792,"score_spread":0.2921299099481209,"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."}}