{"id":"W3197420377","doi":"10.3390/s21175858","title":"An LSTM Network for Apnea and Hypopnea Episodes Detection in Respiratory Signals","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Case Western Reserve University; University of Washington; York University; Johns Hopkins University; National Heart, Lung, and Blood Institute; University of California, Davis; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; University of Minnesota","keywords":"Polysomnography; Hypopnea; Apnea; Sleep apnea; Medicine; Breathing; Apnea–hypopnea index; Obstructive sleep apnea; Computer science; Artificial intelligence; Cardiology; Internal medicine; Anesthesia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004558421,0.0001152023,0.0002391979,0.0001173477,0.00008451324,0.00002600109,0.00003919417,0.0001125972,0.00004016359],"category_scores_gemma":[0.0004242611,0.000114233,0.00005036064,0.0003355692,0.00009164948,0.00007211105,0.00002682814,0.0002069992,0.000008558209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007388037,"about_ca_system_score_gemma":0.00003521317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002379878,"about_ca_topic_score_gemma":0.0002296687,"domain_scores_codex":[0.9986895,0.0001850182,0.0002085784,0.0003584016,0.0002013124,0.0003571678],"domain_scores_gemma":[0.9991273,0.0002341837,0.00003771892,0.000258764,0.0001825735,0.0001594184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008381004,0.0002255137,0.0941157,0.0002520822,0.0001198252,0.000352241,0.0005497658,0.001269102,0.6101884,0.0002902898,0.0001226103,0.2916763],"study_design_scores_gemma":[0.004936229,0.001355822,0.2970876,0.00009577045,0.00009627746,0.0001213203,0.002152457,0.04765157,0.6360207,0.002122559,0.007925866,0.0004338913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976077,0.0006223274,0.0005491967,0.0002335864,0.0001173352,0.0004366558,0.000008261924,0.0000392788,0.0003856338],"genre_scores_gemma":[0.9975057,0.00001350468,0.001642719,0.0002477412,0.0003883346,0.00003417598,0.00001015722,0.0000318384,0.0001258138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912425,"threshold_uncertainty_score":0.4658288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184273103426783,"score_gpt":0.3230997431848784,"score_spread":0.2912570121506106,"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."}}