{"id":"W2032832123","doi":"10.1109/embc.2012.6347445","title":"Monitoring torso acceleration for estimating the respiratory flow and efforts for sleep apnea detection","year":2012,"lang":"en","type":"article","venue":"","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Simon Fraser University","funders":"","keywords":"Torso; Sleep apnea; Acceleration; Apnea; Computer science; Respiratory system; Medicine; Cardiology; Internal medicine; Physics","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":[0.0003874599,0.0006690074,0.0003833672,0.0006105053,0.0001393928,0.0002777372,0.0002853024,0.0004670348,0.000582476],"category_scores_gemma":[0.001158705,0.0001225582,0.0002394648,0.0003593997,0.0001110517,0.0003961375,0.0002637999,0.0003690974,0.0002787218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008686972,"about_ca_system_score_gemma":0.0001566748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506473,"about_ca_topic_score_gemma":0.0009141754,"domain_scores_codex":[0.9997278,0.00007984689,0.00001529175,0.0000606318,0.00009726745,0.0000191772],"domain_scores_gemma":[0.99965,0.0001482951,0.00005966034,0.00003267291,0.00008879291,0.00002056779],"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":[0.0003576154,0.000212359,0.04735472,0.0002207936,0.0001251413,0.0001533248,0.0001161908,0.03441338,0.1759861,0.0006498403,0.001113775,0.7392967],"study_design_scores_gemma":[0.00004071484,0.0008321836,0.09516537,0.00005966669,0.0001723571,0.0008615728,0.00007291841,0.822869,0.07610593,0.0009246881,0.002818581,0.00007706795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1864435,0.0006862316,0.8099187,0.00009314356,0.0001301142,0.00008251715,0.0002102087,0.000757471,0.00167827],"genre_scores_gemma":[0.8289142,0.0004678421,0.1694518,0.00003985967,0.0001059063,0.00007500278,0.0002077686,0.00003257182,0.000704962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006690074,"threshold_uncertainty_score":0.002049088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509055587873239,"score_gpt":0.3479592291566753,"score_spread":0.2928686732779429,"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."}}