{"id":"W7125482633","doi":"10.1109/icces67310.2025.11337119","title":"Development of an Optimal Approach for Heart Sound Classification and Segmentation Using Improved Convolutional Neural Network","year":2025,"lang":"","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Segmentation; Convolutional neural network; Pattern recognition (psychology); Artificial neural network; Development (topology); Feature (linguistics)","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":[0.0004930616,0.0008237224,0.0007590316,0.0008785346,0.0004464058,0.0007312211,0.001380853,0.001195121,0.002407398],"category_scores_gemma":[0.0008499892,0.0006209287,0.0008114896,0.0005476286,0.0002627636,0.0008112473,0.0008620561,0.001097417,0.00110927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007520377,"about_ca_system_score_gemma":0.001889115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01812873,"about_ca_topic_score_gemma":0.02479742,"domain_scores_codex":[0.9996365,0.00002960623,0.00002208599,0.0001331096,0.0001193968,0.00005923655],"domain_scores_gemma":[0.9996619,0.00006724481,0.00002267951,0.0000352572,0.0001898838,0.00002306232],"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":[0.0001704871,0.0001707432,0.001544102,0.0001146998,0.0001227062,0.0001351309,0.00006376899,0.1558762,0.07922179,0.005708431,0.004053427,0.7528185],"study_design_scores_gemma":[0.000004610259,0.00002011285,0.0003167639,0.000005396543,0.00001589812,0.00002864354,0.000006321267,0.9906703,0.007160715,0.0008033483,0.0009622039,0.000005664704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01003697,0.0002668852,0.9874785,0.00009566615,0.00005520882,0.00004527593,0.00006489568,0.00108258,0.0008741184],"genre_scores_gemma":[0.1683988,0.0003295021,0.8244038,0.0001629344,0.00007175246,0.0001243428,0.0005423137,0.0001922985,0.005774224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01812873,"threshold_uncertainty_score":0.03604639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05247347256032548,"score_gpt":0.3363730386490573,"score_spread":0.2838995660887318,"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."}}