{"id":"W2771869373","doi":"10.1109/iemcon.2017.8117188","title":"Respiratory effort monitoring system for sleep apnea screening for both supine and lateral recumbent positions","year":2017,"lang":"en","type":"article","venue":"","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supine position; Sitting; Inertial measurement unit; Sleep apnea; Physical medicine and rehabilitation; Respiratory system; Body position; Polysomnography; Medicine; Apnea; Sleep (system call); Physical therapy; Computer science; Anesthesia; Artificial intelligence; Internal medicine; Pathology","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":[0.0003730537,0.0007623673,0.0005772361,0.001094957,0.0002961635,0.0004541239,0.0005315084,0.0007005759,0.003253694],"category_scores_gemma":[0.001163688,0.0001667874,0.000346908,0.0005346937,0.00007805756,0.0004500508,0.0005027218,0.0003150849,0.001782435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331084,"about_ca_system_score_gemma":0.0002445283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363399,"about_ca_topic_score_gemma":0.002617742,"domain_scores_codex":[0.9995647,0.00007349705,0.00004444649,0.0001210385,0.0001534091,0.00004291712],"domain_scores_gemma":[0.9996018,0.00005531211,0.00006130316,0.00004359953,0.000208857,0.00002924199],"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":[0.001697358,0.0004794518,0.1430329,0.0007946774,0.000344345,0.0007817977,0.0003404744,0.004903674,0.199209,0.001352808,0.0184533,0.6286102],"study_design_scores_gemma":[0.0002790547,0.002557277,0.6012635,0.0003070102,0.00070274,0.003621999,0.0003669875,0.2335518,0.1205379,0.001150953,0.03541421,0.0002465013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5785745,0.005581895,0.3644095,0.0008437824,0.001289164,0.001031419,0.008471895,0.01488036,0.02491741],"genre_scores_gemma":[0.9252976,0.0006169964,0.06570045,0.0003628062,0.0001898359,0.000417668,0.002841821,0.00007928063,0.004493612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003253694,"threshold_uncertainty_score":0.0108847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032780184506724,"score_gpt":0.3603602230552719,"score_spread":0.3000324212102046,"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."}}