{"id":"W4320915639","doi":"10.5772/dmht.13","title":"The Feasibility of Human Identification from Multiple ECGs using Maximal Overlap Discrete Wavelet Transform (MODWT) and Weighted Majority Voting Method (WMVM)","year":2023,"lang":"en","type":"article","venue":"Digital Medicine and Healthcare Technology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Discriminative model; Pattern recognition (psychology); Computer science; Artificial intelligence; Wavelet; Wavelet transform; Identification (biology); Discrete wavelet transform; Biometrics","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":[0.0005635449,0.0001666595,0.0005374575,0.0003031111,0.0003413122,0.0000215543,0.00009947607,0.0002132996,0.000001896485],"category_scores_gemma":[0.0004525977,0.0001132679,0.00006140969,0.0006702304,0.000543537,0.0001041763,0.00007012733,0.0003537028,8.499086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195565,"about_ca_system_score_gemma":0.00004111637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647409,"about_ca_topic_score_gemma":0.00021765,"domain_scores_codex":[0.9984127,0.0000427586,0.0005840813,0.0004088596,0.0002447078,0.0003068972],"domain_scores_gemma":[0.9988883,0.0002935997,0.00018663,0.0003454743,0.0001615411,0.0001244891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204747,0.00004402122,0.7504184,0.000438628,0.0001431667,0.00002298747,0.0006874424,2.335078e-7,0.02105561,0.002424964,0.00002694447,0.2246172],"study_design_scores_gemma":[0.007529485,0.002752403,0.7834297,0.002291407,0.0009882175,0.0001741933,0.03484479,0.05684042,0.01690149,0.09264471,0.0008632906,0.0007398836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766309,0.001069706,0.001490626,0.02007141,0.00008911946,0.0003228513,0.00007020809,0.0001963158,0.0000588336],"genre_scores_gemma":[0.998626,0.0002734482,0.000712623,0.00003689118,0.0001421164,0.00001110825,0.0001274214,0.00001752977,0.00005285454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238773,"threshold_uncertainty_score":0.4618932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07930149156468512,"score_gpt":0.4027270488198266,"score_spread":0.3234255572551414,"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."}}