{"id":"W4386325697","doi":"10.18280/ts.400411","title":"Enhancing ECG Signal Classification Accuracy Through Gaussian Modeling Method","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Gaussian; Pattern recognition (psychology); Artificial intelligence; SIGNAL (programming language); Data mining; Physics","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":[0.0008440159,0.0002201793,0.000358557,0.0002180043,0.0002378676,0.00005984005,0.0001313704,0.0001005169,0.0005080603],"category_scores_gemma":[0.0000698684,0.0001942078,0.0002247307,0.0006993444,0.00002395408,0.0002145932,0.00003766144,0.0002592469,0.000234071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162236,"about_ca_system_score_gemma":0.00009300514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046695,"about_ca_topic_score_gemma":0.000007712581,"domain_scores_codex":[0.9979094,0.0001069994,0.0005391712,0.000451134,0.0005614842,0.0004318236],"domain_scores_gemma":[0.999143,0.0001975244,0.0001284119,0.0002638099,0.000116723,0.0001505388],"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":[0.000221047,0.0003907225,0.005345351,0.0003316507,0.000691662,0.0001164406,0.003654628,0.03024431,0.8464922,0.0009948267,0.001397876,0.1101193],"study_design_scores_gemma":[0.001003055,0.000152219,0.001832473,0.0002416225,0.0003924152,0.00001224626,0.0019141,0.9548736,0.03767794,0.000646182,0.0009983707,0.0002558292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2433316,0.00009725053,0.7515653,0.002251391,0.0001539845,0.0002888622,0.00000772497,0.0004491394,0.00185478],"genre_scores_gemma":[0.9673414,0.00007095378,0.03061927,0.0002318617,0.0008955026,0.00005933123,0.0001240413,0.00003886791,0.0006187309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9246292,"threshold_uncertainty_score":0.7919562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08778937694681838,"score_gpt":0.3695748311836836,"score_spread":0.2817854542368652,"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."}}