{"id":"W7073623005","doi":"","title":"Sleep Apnea Detection by Tracheal Motion and Sound, and Oximetry via Application of Deep Neural Networks","year":2023,"lang":"en","type":"other","venue":"Dove Medical Press (Taylor and Francis Group)","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polysomnography; Sleep apnea; Apnea; Artificial neural network; Sleep (system call); Breathing; Sleep medicine; Sleep apnea syndromes; Sleep disordered breathing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004539867,0.0007956275,0.0005188385,0.000618228,0.000219949,0.0005243094,0.0006133246,0.0005589421,0.0009762243],"category_scores_gemma":[0.001214407,0.0003231649,0.0006754465,0.0004105657,0.0001710209,0.0004911522,0.000829633,0.0008848871,0.000318346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428942,"about_ca_system_score_gemma":0.0007229352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128413,"about_ca_topic_score_gemma":0.01198561,"domain_scores_codex":[0.9998116,0.00003699066,0.00001508957,0.00005673613,0.00004321913,0.00003626513],"domain_scores_gemma":[0.9997717,0.0001045001,0.00002764239,0.00001521668,0.0000641952,0.00001673197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003401847,0.0004902303,0.008619451,0.0001422858,0.0002286278,0.0002023376,0.00009249715,0.2746292,0.01137379,0.001209732,0.004542904,0.6981287],"study_design_scores_gemma":[0.000005289817,0.00002895482,0.0007734297,0.000007036136,0.00001282258,0.00001503158,0.000007471579,0.9978404,0.0007146271,0.0003817452,0.0002084493,0.000004727922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1912063,0.003204186,0.7973747,0.0007524104,0.0003059025,0.0001519021,0.0004044471,0.002150856,0.004449428],"genre_scores_gemma":[0.886392,0.001191168,0.105802,0.0002704886,0.0001832054,0.0001684372,0.0009238759,0.00006650726,0.005002343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01128413,"threshold_uncertainty_score":0.02243686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009011784760383246,"score_gpt":0.2619030134600578,"score_spread":0.2528912286996746,"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."}}