{"id":"W3045706881","doi":"10.2196/18297","title":"A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Vital signs; Polysomnography; Computer science; Obstructive sleep apnea; Remote patient monitoring; Sleep apnea; Sleep (system call); Apnea; Medicine; Mean squared error; Hypopnea; Simulation; Real-time computing; Artificial intelligence; Medical emergency; Statistics; Mathematics; Anesthesia","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":[0.0007489956,0.0004384642,0.0003577612,0.00103565,0.0001870848,0.0003392327,0.0004824607,0.0004828258,0.001824151],"category_scores_gemma":[0.00103556,0.0001081639,0.0005435015,0.0004846837,0.0001707733,0.000704602,0.0003260855,0.0001834575,0.000340247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635899,"about_ca_system_score_gemma":0.000174235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274416,"about_ca_topic_score_gemma":0.0009685769,"domain_scores_codex":[0.9994619,0.0001276337,0.00003484107,0.0001409947,0.0002078707,0.00002676567],"domain_scores_gemma":[0.9993154,0.0001344887,0.00004366276,0.00005292731,0.0004174083,0.00003603757],"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":[0.00566494,0.002223162,0.1420597,0.001825175,0.0007978163,0.0006300032,0.0007069745,0.004366134,0.3622371,0.001224452,0.00169691,0.4765677],"study_design_scores_gemma":[0.0005068851,0.03709437,0.545053,0.0001596829,0.002261155,0.005984745,0.002307328,0.1974631,0.1962482,0.0009029072,0.01178486,0.000233696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395456,0.003206437,0.05177215,0.00008113675,0.0002377448,0.0003544681,0.0003444877,0.0001892835,0.004268765],"genre_scores_gemma":[0.9766947,0.001067561,0.02036603,0.00005412576,0.00005906937,0.0001379934,0.0002780317,0.00001499816,0.001327586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001824151,"threshold_uncertainty_score":0.006102383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1782232022280507,"score_gpt":0.4165017531279455,"score_spread":0.2382785508998947,"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."}}