{"id":"W1918109950","doi":"10.1097/aln.0000000000000692","title":"Identifying Obstructive Sleep Apnea in Administrative Data","year":2015,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Ottawa; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ottawa Hospital Anesthesia Alternate Funds Association; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Polysomnogram; Obstructive sleep apnea; Diagnosis code; Continuous positive airway pressure; Sleep apnea; Sleep study; Apnea–hypopnea index; Polysomnography; Intensive care medicine; Emergency medicine; Internal medicine; Apnea; Population","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":[0.01139106,0.000260419,0.0004355224,0.004901892,0.0004933216,0.001444836,0.0009914105,0.0004255745,0.0008622445],"category_scores_gemma":[0.06252288,0.0003165196,0.0005653579,0.007030589,0.0003007236,0.000744926,0.001540926,0.0004994798,0.0002607288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226617,"about_ca_system_score_gemma":0.002344645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940531,"about_ca_topic_score_gemma":0.0132176,"domain_scores_codex":[0.9862121,0.006455347,0.002613571,0.001012656,0.003095722,0.0006104629],"domain_scores_gemma":[0.9238299,0.0322165,0.02955168,0.005082905,0.008117368,0.001201622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005207622,0.0000468009,0.9914294,0.00009802936,0.0001218473,0.00006445252,0.0001234353,0.0004904791,0.00008654445,0.0003372581,0.001428276,0.005721434],"study_design_scores_gemma":[0.00003448343,0.0001054097,0.982829,0.0002429895,0.0001436295,0.0002592547,0.0004385423,0.01016283,0.0007651928,0.0006543868,0.004345809,0.00001852445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620382,0.001305006,0.005168668,0.001078925,0.00009706917,0.0003327336,0.02465748,0.00009174456,0.005230295],"genre_scores_gemma":[0.9815028,0.0002770791,0.003643391,0.0002637078,0.0000755537,0.0001730923,0.01390717,0.000007103109,0.0001501047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940531,"threshold_uncertainty_score":0.06024241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1951593681276263,"score_gpt":0.4037132495477268,"score_spread":0.2085538814201005,"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."}}