{"id":"W4283753063","doi":"10.2147/nss.s360970","title":"Respiratory Motion and Airflow Estimation During Sleep Using Tracheal Movement and Sound","year":2022,"lang":"en","type":"article","venue":"Nature and Science of Sleep","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; North Toronto Eye Care; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Airflow; Movement (music); Sound (geography); Respiratory system; Acoustics; Motion (physics); Sleep (system call); Audiology; Physical medicine and rehabilitation; Anatomy; Artificial intelligence; Mechanical engineering; Engineering; Computer science","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":[0.0003240516,0.0005264028,0.0003084122,0.0005394593,0.0001258412,0.0002445513,0.0002004589,0.0004025449,0.0006047895],"category_scores_gemma":[0.001396045,0.0001331786,0.0003439314,0.0001892616,0.0001301445,0.000195805,0.0001851422,0.0001285115,0.0002172857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197927,"about_ca_system_score_gemma":0.0002223778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860656,"about_ca_topic_score_gemma":0.002664149,"domain_scores_codex":[0.9998802,0.00002637469,0.00001158309,0.00004694153,0.00002786865,0.000006991816],"domain_scores_gemma":[0.9997259,0.0001321401,0.00005203422,0.00001792727,0.00005592304,0.00001603229],"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":[0.001391854,0.0003310564,0.2286773,0.0005076915,0.00029887,0.0003178096,0.0004043824,0.03776257,0.1530751,0.0002819658,0.0005073466,0.576444],"study_design_scores_gemma":[0.0001054624,0.001475442,0.5293063,0.00007732645,0.0002641174,0.001326996,0.0002093478,0.4409297,0.02474931,0.0003051922,0.00119664,0.00005412066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837149,0.0005736132,0.1147547,0.00003397951,0.00002232238,0.00008510053,0.0001404372,0.0001835448,0.0004912859],"genre_scores_gemma":[0.9524456,0.0002917706,0.04622005,0.0000206048,0.00001996409,0.00007229974,0.0002793158,0.0000140206,0.000636458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001860656,"threshold_uncertainty_score":0.00369972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984494201147935,"score_gpt":0.3147248353253274,"score_spread":0.294879893313848,"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."}}