{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004482613,0.0001726209,0.0001415318,0.0007598682,0.000116117,0.0002602651,0.0001558273,0.0002874682,0.0003114123],"category_scores_gemma":[0.002479696,0.00007300372,0.0001670661,0.0002177061,0.0003372216,0.0002509567,0.0001432647,0.0002100741,0.00005531327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665945,"about_ca_system_score_gemma":0.00008647325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000601829,"about_ca_topic_score_gemma":0.0004587845,"domain_scores_codex":[0.9998202,0.00005735977,0.000008410264,0.00002646991,0.0000721768,0.00001534772],"domain_scores_gemma":[0.998944,0.0006125266,0.0001085263,0.000116667,0.0001688488,0.00004951307],"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":[0.001003912,0.0001639904,0.02140253,0.0001936882,0.00009103074,0.001150005,0.0008293072,0.390177,0.489209,0.00966783,0.000613239,0.08549848],"study_design_scores_gemma":[0.000008571772,0.0001250548,0.02763642,0.000009588647,0.00001330167,0.0005288581,0.00005283442,0.9475199,0.02249675,0.001070028,0.0005145951,0.00002406554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975841,0.000139266,0.1011391,0.0001014776,0.00001842453,0.00001634081,0.0001119512,0.0001106125,0.0007788055],"genre_scores_gemma":[0.9893629,0.00004802769,0.01028111,0.000009570279,0.00001074731,0.000005146399,0.0001103816,0.00001122739,0.0001610314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007598682,"threshold_uncertainty_score":0.002370656,"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."}}