{"id":"W4288430721","doi":"10.3390/app12157618","title":"CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Ocean Frontier Institute; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada First Research Excellence Fund; Agence Nationale de la Recherche; Dalhousie University; Fondation Université Grenoble Alpes","keywords":"Medicine; Continuous positive airway pressure; Computer science; Sleep apnea; Intensive care medicine; Machine learning; Artificial intelligence; Obstructive sleep apnea; 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":[0.001085519,0.0005822248,0.0005591814,0.0007958964,0.0002449149,0.0006900353,0.0006867756,0.0007364496,0.0007871659],"category_scores_gemma":[0.003574963,0.0002483506,0.0006854963,0.0007112307,0.0002522161,0.0004082993,0.0004956708,0.0008451862,0.0002237745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565913,"about_ca_system_score_gemma":0.0005900076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596335,"about_ca_topic_score_gemma":0.009972943,"domain_scores_codex":[0.9995052,0.0001601464,0.00002949475,0.0001441023,0.0001089286,0.00005214891],"domain_scores_gemma":[0.9991302,0.0005190365,0.0001096667,0.00005569201,0.000145372,0.00004001659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005413515,0.0004057202,0.037224,0.0001214238,0.0002596127,0.0002086753,0.0003277945,0.7574112,0.006074152,0.004337285,0.001750636,0.1913381],"study_design_scores_gemma":[0.000002904505,0.00002121192,0.00301746,0.000003305397,0.000008842966,0.00001369319,0.000007279717,0.9960891,0.0002719394,0.0004166022,0.0001415558,0.000006241368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3064994,0.0004028486,0.6899116,0.0002975089,0.00008019309,0.000112004,0.0005423827,0.0006629821,0.001490987],"genre_scores_gemma":[0.9528194,0.0001927952,0.04499137,0.00005664574,0.00004003865,0.00009434553,0.0005312336,0.00003411602,0.00124007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01596335,"threshold_uncertainty_score":0.03174084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367208535777039,"score_gpt":0.3458262883698154,"score_spread":0.302154203012045,"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."}}