{"id":"W2096623024","doi":"10.1109/iembs.2006.260391","title":"Apnea Detection by Acoustical Means","year":2006,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Apnea; Acoustics; Computer science; Medicine; Physics; Anesthesia","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":[0.0004086025,0.0004118762,0.0004768396,0.001037225,0.0002163969,0.000455579,0.0004971419,0.0006427318,0.001398369],"category_scores_gemma":[0.001354762,0.0002238528,0.0002731304,0.0003162933,0.0003119638,0.0006652149,0.00044535,0.0004237963,0.000595644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009582889,"about_ca_system_score_gemma":0.0002059253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002165321,"about_ca_topic_score_gemma":0.0005257063,"domain_scores_codex":[0.9995371,0.0001121451,0.00002555158,0.00008781542,0.0002124784,0.00002500633],"domain_scores_gemma":[0.9993663,0.000345864,0.00006822303,0.00004952796,0.0001355767,0.00003445729],"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":[0.0005305271,0.0001239116,0.007123014,0.0004995078,0.00007821926,0.0002517447,0.0001915446,0.001204777,0.4311892,0.001180742,0.001038293,0.5565886],"study_design_scores_gemma":[0.0002921389,0.003012543,0.1069734,0.0002667146,0.0005867853,0.01221468,0.0004915391,0.239506,0.5843225,0.005365182,0.04654358,0.0004249854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1330436,0.003608216,0.8573728,0.0002172995,0.0004174047,0.0001739462,0.0001950845,0.001342623,0.003629145],"genre_scores_gemma":[0.5498438,0.00214131,0.4415736,0.0001922671,0.0004805608,0.0002165122,0.0002150794,0.0000898638,0.005246988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001398369,"threshold_uncertainty_score":0.004677951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005261766657888263,"score_gpt":0.2373458858277607,"score_spread":0.2320841191698725,"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."}}