{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00229431,0.0007947721,0.0006680943,0.001032174,0.0003364687,0.001012701,0.0009454133,0.0008501949,0.0007414413],"category_scores_gemma":[0.005588012,0.0002647043,0.0007815232,0.0007879937,0.0004809219,0.001191506,0.0009398771,0.0008435236,0.0007506938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007010194,"about_ca_system_score_gemma":0.0009880541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00504359,"about_ca_topic_score_gemma":0.004475698,"domain_scores_codex":[0.998726,0.0003133112,0.00007404931,0.0002531297,0.0005170151,0.0001165043],"domain_scores_gemma":[0.9985431,0.0006667379,0.000165362,0.0001903149,0.0003885372,0.0000459631],"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":[0.0006009944,0.0002249838,0.009872781,0.0001866656,0.0001363875,0.0003322037,0.0003080991,0.350935,0.06140554,0.009574979,0.003691226,0.5627311],"study_design_scores_gemma":[0.000003977626,0.00003126933,0.0008956767,0.000006999217,0.00001550175,0.00006565422,0.000009548819,0.9913597,0.005940705,0.000845508,0.0008120577,0.00001329757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03873278,0.0004080559,0.9579271,0.0002668206,0.00008118477,0.00002783967,0.0000714957,0.001375486,0.001109241],"genre_scores_gemma":[0.7803112,0.0006663739,0.2162996,0.0001958298,0.0000848292,0.0000573139,0.0002701487,0.0001774662,0.001937246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00504359,"threshold_uncertainty_score":0.01213366,"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."}}