{"id":"W4401072520","doi":"10.1109/memea60663.2024.10596754","title":"Enhanced Phonocardiogram Classification Performance through Outlier Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Phonocardiogram; Anomaly detection; Computer science; Artificial intelligence; Pattern recognition (psychology); Outlier","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":[0.001645247,0.0008958439,0.0008569444,0.00112453,0.0002847999,0.0009971752,0.0008130465,0.0008619419,0.0008048509],"category_scores_gemma":[0.005256652,0.0001824569,0.0004127928,0.0008042001,0.0003028198,0.0009952177,0.001005107,0.001001135,0.0005458369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303063,"about_ca_system_score_gemma":0.0005076167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826464,"about_ca_topic_score_gemma":0.002371552,"domain_scores_codex":[0.9992012,0.0001513595,0.00006611676,0.0001776571,0.0003028517,0.0001007932],"domain_scores_gemma":[0.9981257,0.0008743969,0.0002373196,0.0002207061,0.0004692519,0.00007246651],"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":[0.0007527085,0.0003468393,0.01317211,0.000236836,0.0001665098,0.0003160942,0.0001487278,0.08068954,0.05190822,0.0009019672,0.003480363,0.8478801],"study_design_scores_gemma":[0.00001517796,0.0002200583,0.008003634,0.00002685651,0.00004544361,0.000232501,0.0000497002,0.9638304,0.02517722,0.0008170031,0.001553037,0.00002897146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.271187,0.001714782,0.7180133,0.0005706527,0.0002430919,0.00008839271,0.0004666639,0.004997991,0.002718034],"genre_scores_gemma":[0.8457491,0.0006075111,0.1496744,0.0001356117,0.000132766,0.00005927218,0.001247385,0.00015963,0.002234291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001826464,"threshold_uncertainty_score":0.008701026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541205030709816,"score_gpt":0.3009443085130691,"score_spread":0.275532258205971,"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."}}