{"id":"W2151512267","doi":"10.1109/ccece.2004.1347686","title":"Multifractal characterization of synthetic ECG in the presence of coloured noise","year":2004,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Multifractal system; Noise (video); Attractor; White noise; Fractal dimension; Mathematics; Noise measurement; Fractal; Computer science; Pattern recognition (psychology); Algorithm; Artificial intelligence; Statistical physics; Statistics; Physics; Noise reduction; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313568,0.0000376024,0.0001304191,0.00005691919,0.00000912071,0.000002009634,0.00005204555,0.00002712995,0.00001801921],"category_scores_gemma":[0.0001193905,0.00002296231,0.00003927163,0.0001842042,0.00003336517,0.00002729046,0.000007345536,0.00005023261,0.000002620911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001035802,"about_ca_system_score_gemma":0.0000235459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390247,"about_ca_topic_score_gemma":0.00001387538,"domain_scores_codex":[0.9995654,0.00002138792,0.0001560471,0.00006508343,0.0001352229,0.00005687211],"domain_scores_gemma":[0.999688,0.00004494217,0.00006144069,0.0001442736,0.00004632485,0.00001506209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004664389,0.0003617544,0.08191904,0.00007080225,0.00001630995,0.00000680432,0.001178138,0.00008849243,0.9116714,0.000056468,0.000001919594,0.004582207],"study_design_scores_gemma":[0.001048083,0.0001746121,0.4919466,0.0002936728,0.0001050036,0.000007870029,0.0007410346,0.004249834,0.5012954,0.00005372714,0.0000267548,0.00005732016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981341,0.000008047637,0.0004583862,0.0009527066,0.000023665,0.00009420099,0.000001224537,0.000006170538,0.0003215478],"genre_scores_gemma":[0.9994569,0.00002088948,0.0002891159,0.00002429181,0.00002196376,0.000004028967,0.00000591183,0.0000029782,0.000173882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410376,"threshold_uncertainty_score":0.09363758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155369904340858,"score_gpt":0.2639569278928789,"score_spread":0.2524032288494704,"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."}}