{"id":"W3185512527","doi":"10.1109/iembs.2005.1616613","title":"Robust Respiratory Flow Estimation Using Statistical Properties of Tracheal Sounds","year":2005,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Calibration; Expiration; Flow (mathematics); Computer science; Volumetric flow rate; Flow measurement; Entropy (arrow of time); Speech recognition; Acoustics; Respiratory system; Mathematics; Statistics; 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":[0.0009117338,0.000465043,0.0006275418,0.001133675,0.0001281587,0.0005043122,0.0003217925,0.0005826351,0.0003398298],"category_scores_gemma":[0.005238501,0.0002824759,0.0003918533,0.0003082993,0.000307014,0.0008706623,0.00039804,0.0003860899,0.0002142153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793432,"about_ca_system_score_gemma":0.000216047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005442566,"about_ca_topic_score_gemma":0.0004301807,"domain_scores_codex":[0.9995838,0.0001372061,0.00002530271,0.00009386395,0.0001342385,0.00002556352],"domain_scores_gemma":[0.99883,0.0007512271,0.0001611263,0.00007097342,0.0001628268,0.00002395674],"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":[0.0006880523,0.0001184749,0.01148656,0.0003149991,0.0002232005,0.0002225216,0.0001457979,0.1699873,0.2695535,0.002465453,0.001014365,0.5437798],"study_design_scores_gemma":[0.00002637656,0.0001653177,0.01533671,0.00001693053,0.0000451201,0.0002890178,0.00001756036,0.9489096,0.03305796,0.001385358,0.0006978032,0.00005221439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038237,0.0006350238,0.8943473,0.00007586172,0.0000410408,0.00002558797,0.00008648352,0.0006168893,0.0003481797],"genre_scores_gemma":[0.8090118,0.0005205164,0.1893412,0.00005247417,0.0001835363,0.00005320281,0.0002681974,0.00008338801,0.0004856807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001133675,"threshold_uncertainty_score":0.004821718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09659019489017591,"score_gpt":0.3106976008495973,"score_spread":0.2141074059594214,"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."}}