{"id":"W3158521803","doi":"10.1371/journal.pone.0250777","title":"Predictive performance of oximetry in detecting sleep apnea in surgical patients with cardiovascular risk factors","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"Health and Medical Research Fund; University Health Network Foundation; National Healthcare Group; Universiti Malaya; Ontario Ministry of Health and Long-Term Care; Auckland Medical Research Foundation; ResMed","keywords":"Medicine; Pulse oximetry; Body mass index; Obstructive sleep apnea; Sleep apnea; Confidence interval; Internal medicine; Prospective cohort study; Apnea; Apnea–hypopnea index; Sleep study; Polysomnography; Predictive value of tests; Cohort study; Cohort; Cardiology; Anesthesia","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":[0.001578064,0.0003975377,0.0002855495,0.0007968408,0.0001691207,0.0004045449,0.0002645136,0.000356757,0.0009659013],"category_scores_gemma":[0.006212787,0.0001722163,0.0003654482,0.0004507175,0.0002370302,0.0003252857,0.0002886975,0.0004517669,0.0002005312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059194,"about_ca_system_score_gemma":0.0001875313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005563829,"about_ca_topic_score_gemma":0.0006822772,"domain_scores_codex":[0.9994721,0.0001832509,0.00007487597,0.00008790748,0.000133968,0.00004802507],"domain_scores_gemma":[0.9952793,0.002806985,0.001036933,0.0001715495,0.0003237134,0.0003814987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001613308,0.00001789507,0.997457,0.000006695576,0.00002911631,0.00001570075,0.00001084949,0.0001010066,0.0001645611,0.00000525397,0.0000348875,0.001995814],"study_design_scores_gemma":[0.00001554071,0.000366162,0.9968359,0.00001174961,0.00006266516,0.0002661336,0.00004753431,0.001877482,0.0003454719,0.00004466934,0.0001221193,0.000004556564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984429,0.0005401227,0.0003344972,0.00005287973,0.00001928036,0.000009522951,0.0001480608,0.000008888378,0.0004438571],"genre_scores_gemma":[0.9994704,0.0000957737,0.0002049272,0.00001227136,0.00001917159,0.000004946497,0.0001434116,0.000001293272,0.00004775944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001578064,"threshold_uncertainty_score":0.008345723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923518724070512,"score_gpt":0.2235030097255049,"score_spread":0.2042678224847998,"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."}}