{"id":"W2083122744","doi":"10.1109/iembs.2010.5627653","title":"Acoustical screening for obstructive sleep apnea during wakefulness","year":2010,"lang":"en","type":"article","venue":"","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wakefulness; Supine position; Obstructive sleep apnea; Medicine; Audiology; Quadratic classifier; Linear discriminant analysis; Apnea; Polysomnography; Sleep apnea; Speech recognition; Anesthesia; Computer science; Artificial intelligence; Electroencephalography; Classifier (UML)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004500916,0.0003190229,0.0002929572,0.0008613536,0.0001989542,0.0002455775,0.0002242087,0.0003717512,0.0009782992],"category_scores_gemma":[0.001380758,0.0001421678,0.0001261192,0.000166869,0.0001934795,0.0002405867,0.0002221288,0.0002681666,0.0003050568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006627954,"about_ca_system_score_gemma":0.0001351056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004444465,"about_ca_topic_score_gemma":0.001040592,"domain_scores_codex":[0.9997229,0.0001005672,0.00001997461,0.00004444187,0.00009049149,0.00002160279],"domain_scores_gemma":[0.9994423,0.0002507924,0.00007738572,0.00002640138,0.0001385189,0.00006449917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001417896,0.0003056519,0.5186883,0.000317037,0.00008052315,0.0007540736,0.0005832922,0.0002465856,0.2162637,0.0001443605,0.0008741101,0.2603245],"study_design_scores_gemma":[0.00008605829,0.002417863,0.9558137,0.00005337374,0.0001099566,0.008483906,0.00053879,0.004597811,0.02484141,0.0002125562,0.002794405,0.00005010462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699824,0.001899002,0.02516796,0.0002089688,0.0001233357,0.0001428463,0.0002285469,0.0001640845,0.002082692],"genre_scores_gemma":[0.9799938,0.0005229991,0.0178495,0.0001198158,0.00009533981,0.00006624748,0.0001452532,0.000008557505,0.001198329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009782992,"threshold_uncertainty_score":0.003272712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234499192018487,"score_gpt":0.3126337288215692,"score_spread":0.2891838096197205,"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."}}