{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005056882,0.0002597657,0.001570957,0.001542888,0.00004774494,0.00002948157,0.0001155051,0.0003630806,0.0000285638],"category_scores_gemma":[0.00009577414,0.0002325294,0.002063797,0.002580453,0.00004914801,0.00001892774,0.0001473487,0.0004901086,0.00001539422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963941,"about_ca_system_score_gemma":0.0001758603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448452,"about_ca_topic_score_gemma":0.00001652815,"domain_scores_codex":[0.9978977,0.0000877762,0.0005997135,0.0005997542,0.0005390485,0.0002759936],"domain_scores_gemma":[0.9980515,0.00007637707,0.0003349399,0.001071399,0.0003446277,0.0001211579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001336497,0.0001690516,0.682331,0.001292432,0.1523067,0.00007428163,0.00042822,0.02640157,0.07637483,0.0002572329,0.001095804,0.05913525],"study_design_scores_gemma":[0.0002943019,0.00007789551,0.3207484,0.0004062805,0.1023638,0.000003115788,0.0006261718,0.566026,0.007953208,0.0001934029,0.0007221492,0.0005851912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525218,0.0006201247,0.04199308,0.0005876604,0.0007640666,0.0004010346,0.00008323899,0.0004050141,0.002623979],"genre_scores_gemma":[0.9875158,0.0006291926,0.00760834,0.00001295911,0.0009254988,0.00002562895,0.0008766698,0.00004844471,0.002357442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5396245,"threshold_uncertainty_score":0.9482273,"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."}}