{"id":"W4255815661","doi":"10.1109/iembs.2006.4398482","title":"Apnea Detection by Acoustical Means","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Apnea; Acoustics; Medicine; Physics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008877741,0.0001098482,0.0001586078,0.00009460194,0.00007153875,0.00004689588,0.00005501813,0.0001016527,0.00004952684],"category_scores_gemma":[0.00004879673,0.00009748026,0.00007878981,0.0002437963,0.00008669803,0.0001361919,0.00001311446,0.000156233,0.00001890269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002174751,"about_ca_system_score_gemma":0.00001717682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370026,"about_ca_topic_score_gemma":8.526517e-7,"domain_scores_codex":[0.9992845,0.000002545509,0.0001568087,0.000208659,0.0001721027,0.0001753839],"domain_scores_gemma":[0.9995421,0.000009998227,0.00004644058,0.00004979111,0.0002793931,0.00007224957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006115154,0.00009862475,0.006253296,0.00008812232,0.00002248387,0.000002367423,0.000159915,1.01629e-7,0.947515,0.002114607,0.01226422,0.03142008],"study_design_scores_gemma":[0.0006948897,0.0003090508,0.01122815,0.00006949366,0.0001237843,0.00006463959,0.0004092011,0.003494123,0.9623752,0.007290907,0.01368841,0.0002521181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5017039,0.0001687924,0.4071115,0.001054164,0.0001053455,0.0005820823,0.00001544639,0.001184885,0.08807388],"genre_scores_gemma":[0.9976109,0.00001799607,0.0015555,0.0001573643,0.0001133676,0.00005310223,0.00001416232,0.00001121958,0.0004664449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959069,"threshold_uncertainty_score":0.397513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087864485684661,"score_gpt":0.2436494308023344,"score_spread":0.2327707859454878,"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."}}