{"id":"W4402307088","doi":"10.18280/ts.410416","title":"Arrhythmia Classification Using Noise Filtering and 1D CNN","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Computer science; Artificial intelligence; Pattern recognition (psychology); Speech recognition; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534229,0.00009225401,0.0001286734,0.0001177602,0.00006539073,0.00006662675,0.0000221929,0.00003479881,0.0001995859],"category_scores_gemma":[0.000007178387,0.0000793771,0.00005867038,0.0001432194,0.00002576066,0.0000759719,0.00001326605,0.0000968033,0.00001969396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005779536,"about_ca_system_score_gemma":0.00002776086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126337,"about_ca_topic_score_gemma":7.852311e-7,"domain_scores_codex":[0.9993148,0.00001483642,0.0001688496,0.0002065173,0.0001631257,0.0001318284],"domain_scores_gemma":[0.9997556,0.00002758227,0.00002211866,0.0000896263,0.00002446237,0.0000806506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004782006,0.00004340572,0.009517184,0.000409767,0.000236944,0.0001575579,0.0006248244,0.0002050677,0.8605913,0.0002904889,0.0002951939,0.1275805],"study_design_scores_gemma":[0.001155652,0.0002743938,0.05541023,0.001483977,0.001066965,0.0002030016,0.0006414895,0.8952684,0.02580666,0.0001698127,0.0181174,0.0004020647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833632,0.0006974146,0.01411374,0.0007949062,0.0001444373,0.00009453746,0.000003872778,0.0001070081,0.0006809094],"genre_scores_gemma":[0.9962205,0.00004347898,0.002159349,0.00004419795,0.001039881,0.000007581037,0.00001224156,0.00001477291,0.0004579434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8950633,"threshold_uncertainty_score":0.3236904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04921973367134153,"score_gpt":0.3065836233227497,"score_spread":0.2573638896514082,"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."}}