{"id":"W3011813470","doi":"10.1109/tim.2020.2981111","title":"Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Bruyère; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; AGE-WELL","keywords":"Polysomnography; Sleep apnea; Sleep (system call); Medicine; Remote patient monitoring; Support vector machine; Computer science; Apnea; Artificial intelligence; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001484411,0.0003543363,0.0003797337,0.000562318,0.0005361381,0.0004271332,0.0002339035,0.0004363171,0.0005694244],"category_scores_gemma":[0.002039521,0.0002492736,0.0005812991,0.0004190736,0.0002134951,0.000540499,0.0004538188,0.0005466661,0.0002457031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339181,"about_ca_system_score_gemma":0.000316535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469666,"about_ca_topic_score_gemma":0.002986041,"domain_scores_codex":[0.999476,0.0001882935,0.00005430875,0.000122159,0.00009277908,0.00006639455],"domain_scores_gemma":[0.9987541,0.0001994258,0.0002409766,0.0002637227,0.0003608286,0.0001808682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006887646,0.0008006804,0.9890329,0.00002460906,0.0001975269,0.000191937,0.000429599,0.0001065338,0.001883558,0.00002849705,0.0001789939,0.006436409],"study_design_scores_gemma":[0.00002592214,0.004349301,0.9924585,0.000008995811,0.0001493034,0.0004250734,0.0005133624,0.000927259,0.0006673654,0.00002686875,0.0004337812,0.00001422373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990848,0.00008684627,0.0004838958,0.00001131929,0.000005287305,0.00002834911,0.0001644097,0.00000427073,0.0001308501],"genre_scores_gemma":[0.9984413,0.00007958285,0.0006794733,0.00002889907,0.00001258188,0.00005348839,0.0005185619,0.000003002145,0.0001830969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002469666,"threshold_uncertainty_score":0.007850409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019833965415207,"score_gpt":0.2995272515534765,"score_spread":0.1975438550119558,"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."}}