{"id":"W2100117045","doi":"10.1109/iembs.2005.1617037","title":"Heart Sounds Separation From Lung Sounds Using Independent Component Analysis","year":2005,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Independent component analysis; Component (thermodynamics); Separation (statistics); Computer science; Speech recognition; Heart sounds; Source separation; Artificial intelligence; Medicine; Cardiology; Machine learning; 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":[0.0003145864,0.0005309456,0.0004208347,0.0008034505,0.0001736128,0.0004185135,0.0002555957,0.0004824258,0.001504752],"category_scores_gemma":[0.001187978,0.0001510435,0.0003909682,0.0005391738,0.0002401061,0.0004050806,0.0002520305,0.0005586836,0.0008018651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113779,"about_ca_system_score_gemma":0.0003842847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008405909,"about_ca_topic_score_gemma":0.0009672394,"domain_scores_codex":[0.9997732,0.00005649622,0.0000145956,0.0000441612,0.00009182539,0.00001988078],"domain_scores_gemma":[0.9996791,0.0001643856,0.00002016781,0.00003005848,0.00009286574,0.00001346297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002374933,0.0001238745,0.001682062,0.0002798418,0.000110979,0.0002443071,0.0001163717,0.007908532,0.2805055,0.002001788,0.002111617,0.7046776],"study_design_scores_gemma":[0.0001598012,0.000705096,0.05199276,0.00009078204,0.0002699283,0.002098307,0.000189008,0.6191047,0.2910747,0.007097325,0.02702131,0.0001963358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04471756,0.0006660149,0.9518986,0.0001232986,0.0001037364,0.0001072531,0.000126988,0.0007837772,0.001472837],"genre_scores_gemma":[0.2675654,0.001028072,0.7282083,0.00006611153,0.00013311,0.0001592143,0.000500238,0.0001154501,0.002224179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001504752,"threshold_uncertainty_score":0.00503391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223409129412028,"score_gpt":0.3436143936018058,"score_spread":0.3213803023076855,"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."}}