{"id":"W2152402032","doi":"10.1109/iembs.2009.5332870","title":"Acoustic obstructive sleep apnea detection","year":2009,"lang":"en","type":"article","venue":"","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Obstructive sleep apnea; Apnea; Polysomnography; Sleep apnea; Computer science; Breathing; Artificial intelligence; Speech recognition; Algorithm; Medicine; Anesthesia","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":[0.0005880511,0.0007581378,0.0007115588,0.002262705,0.0003200877,0.000662794,0.0006426622,0.0008989812,0.004309269],"category_scores_gemma":[0.00207062,0.0002619669,0.0003983522,0.0009371632,0.0001555605,0.0004883531,0.0006379709,0.0003962685,0.001806003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743998,"about_ca_system_score_gemma":0.000403978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725017,"about_ca_topic_score_gemma":0.002951849,"domain_scores_codex":[0.9992498,0.0001102659,0.00008272141,0.0002082412,0.0002896019,0.00005950415],"domain_scores_gemma":[0.9990177,0.0002459089,0.00009401634,0.00007875605,0.0005074257,0.00005622213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007769665,0.0002188876,0.09598976,0.0009044009,0.0002599275,0.0009216644,0.0002684976,0.00138711,0.2093733,0.0009354859,0.00907143,0.6798927],"study_design_scores_gemma":[0.0001902632,0.001268223,0.6388186,0.0004177861,0.0005363539,0.01181375,0.0007114437,0.06995234,0.1725058,0.002525854,0.1010187,0.0002408805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4821293,0.01258238,0.4370764,0.0005122484,0.001493931,0.002239304,0.01466193,0.007706703,0.04159779],"genre_scores_gemma":[0.7396613,0.004186797,0.2178338,0.0007680114,0.0004991587,0.001105379,0.00744054,0.0002179607,0.02828702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004309269,"threshold_uncertainty_score":0.01441592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478865905289556,"score_gpt":0.2895993629726612,"score_spread":0.2748107039197656,"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."}}