{"id":"W2083535555","doi":"10.1109/icassp.2014.6854307","title":"On establishing evaluation standards for ECG biometrics","year":2014,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biometrics; Computer science; Set (abstract data type); Population; Field (mathematics); Artificial intelligence; Data mining; Pattern recognition (psychology); Speech recognition; Medicine; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06785971,0.001003457,0.0011799,0.005234105,0.001592237,0.005121666,0.004062338,0.002830634,0.00193616],"category_scores_gemma":[0.1022013,0.0004069496,0.0009814126,0.003751828,0.001666297,0.005029819,0.003405731,0.002385975,0.001838774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339951,"about_ca_system_score_gemma":0.004959248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533501,"about_ca_topic_score_gemma":0.001978504,"domain_scores_codex":[0.9296623,0.02858194,0.01005959,0.003578637,0.02679007,0.001327426],"domain_scores_gemma":[0.8707392,0.03723038,0.006436986,0.01528133,0.06861135,0.001700854],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005550904,0.0007919442,0.02978514,0.001812284,0.0001317044,0.0002625244,0.001112445,0.008142133,0.03229755,0.09738947,0.01637876,0.8113409],"study_design_scores_gemma":[0.0003912517,0.006162555,0.123188,0.0100398,0.0005628174,0.003906198,0.005091136,0.1332356,0.187933,0.117244,0.411402,0.0008436237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04619193,0.01310419,0.8876607,0.004617203,0.001670335,0.00211774,0.001108638,0.001657866,0.04187136],"genre_scores_gemma":[0.2473664,0.006339416,0.7337909,0.001393349,0.000708134,0.001850147,0.003631837,0.0003708683,0.00454902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9321403,"threshold_uncertainty_score":0.3588808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103507183418214,"score_gpt":0.390583964256963,"score_spread":0.3495488924227808,"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."}}