{"id":"W4386257040","doi":"10.32920/24050742.v1","title":"Cardiac Arrhythmia Classification Using Wavelet Analysis of Electrocardiograms","year":2023,"lang":"en","type":"preprint","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internal medicine; Cardiology; Ventricular fibrillation; Ventricular tachycardia; Atrial fibrillation; Medicine; Wavelet; Cardiac arrhythmia; Sudden cardiac death; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000374251,0.0003206276,0.0003067027,0.001583003,0.00009604589,0.0005372761,0.0001729407,0.0002635814,0.0008219308],"category_scores_gemma":[0.001467208,0.00006710664,0.0003715037,0.00117961,0.0001287567,0.0003950452,0.0002559291,0.0002801453,0.0005912999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144055,"about_ca_system_score_gemma":0.0001562096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000761143,"about_ca_topic_score_gemma":0.0006777214,"domain_scores_codex":[0.9997017,0.0000416668,0.00003721289,0.00007174136,0.00009956824,0.00004820889],"domain_scores_gemma":[0.999624,0.0001252919,0.00005901719,0.0000416256,0.0001285664,0.00002146001],"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":[0.0006408623,0.0002663953,0.03086433,0.0002071737,0.0001084288,0.000488797,0.0001659768,0.02219229,0.1782369,0.00106897,0.002378893,0.7633811],"study_design_scores_gemma":[0.00003488338,0.0006050079,0.178093,0.00005825071,0.0001202111,0.001018029,0.0003698281,0.7620998,0.05286459,0.001372338,0.003314231,0.0000498733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7925245,0.0006427402,0.2023347,0.0001375794,0.0001130194,0.0001237514,0.0009119503,0.0006549503,0.002556858],"genre_scores_gemma":[0.948906,0.0005423134,0.04819516,0.0000194927,0.00004212077,0.00004285187,0.001131232,0.00002967223,0.001091115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001583003,"threshold_uncertainty_score":0.002749562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166953920959406,"score_gpt":0.3656778512011034,"score_spread":0.2489824591051628,"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."}}