{"id":"W2586823735","doi":"10.3389/fphys.2017.00277","title":"Efficient Fetal-Maternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via Diffusion-Based Channel Selection","year":2017,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Fetus; Channel (broadcasting); Computer science; Cardiology; Internal medicine; Pattern recognition (psychology); Algorithm; Artificial intelligence; Pregnancy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001913558,0.0002877992,0.0006305394,0.000289375,0.0004053263,0.00005484065,0.0002586786,0.0001930298,0.00008772357],"category_scores_gemma":[0.00004228669,0.0002569314,0.0002044096,0.0001061535,0.000166812,0.00006752242,0.0000696116,0.0003435509,0.00004948121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064354,"about_ca_system_score_gemma":0.00006700219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00249818,"about_ca_topic_score_gemma":0.00005516268,"domain_scores_codex":[0.9981747,0.0001211867,0.0003932205,0.0005654661,0.0002778347,0.0004675614],"domain_scores_gemma":[0.9989434,0.00003947878,0.0003438517,0.0004225417,0.0001006084,0.0001500605],"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":[0.002989692,0.0005010332,0.490194,0.00008689142,0.0003615567,0.00009250818,0.0002314925,0.05798168,0.4193862,0.000001403719,0.0008289495,0.02734455],"study_design_scores_gemma":[0.002179127,0.0001820576,0.2772827,0.0001116066,0.0001137507,0.000006130178,0.00003409707,0.6937923,0.02572565,0.0003770793,0.00002339136,0.000172071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080783,0.0001147263,0.08913637,0.0002371115,0.002117924,0.0001898966,0.00001877888,0.00005496282,0.00005192211],"genre_scores_gemma":[0.9930829,0.00002046198,0.004813935,0.0001044064,0.001496182,0.00004045746,0.00009361123,0.00003193759,0.0003160731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6358106,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009632932415169387,"score_gpt":0.2736884713967199,"score_spread":0.2640555389815505,"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."}}