{"id":"W2964296502","doi":"10.3389/fams.2017.00002","title":"Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median","year":2017,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Waveform; Fourier transform; Short-time Fourier transform; Computer science; Artificial intelligence; Pattern recognition (psychology); Fetal heart rate; Noise (video); Algorithm; Mathematics; Fourier analysis; Medicine; Heart rate; Internal medicine; Image (mathematics); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007624642,0.0007434379,0.0009667465,0.001729899,0.0002735354,0.0007866473,0.0007940449,0.0009528765,0.001333371],"category_scores_gemma":[0.002840709,0.000297148,0.0008620958,0.001366301,0.0003232937,0.001046819,0.0007978589,0.0007512161,0.001052195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579754,"about_ca_system_score_gemma":0.0005820509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009126637,"about_ca_topic_score_gemma":0.001258686,"domain_scores_codex":[0.9994588,0.00007193587,0.00006497731,0.000167382,0.0002065622,0.00003027171],"domain_scores_gemma":[0.9994001,0.0002455867,0.00009597798,0.0001012231,0.000129954,0.00002698538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003236506,0.00009870606,0.002310831,0.000188297,0.00008316736,0.0002458175,0.0001122072,0.03982311,0.05974876,0.003850973,0.002057518,0.891157],"study_design_scores_gemma":[0.00004600818,0.0001748647,0.005844759,0.00002564734,0.00005892431,0.001041644,0.00009232863,0.9265732,0.05117939,0.007566003,0.007349552,0.00004765042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009016551,0.0002087562,0.9899535,0.00006536493,0.00002273414,0.00002679615,0.00008808153,0.0004046822,0.0002136966],"genre_scores_gemma":[0.08269678,0.0004913967,0.9140702,0.00006405864,0.00007492279,0.00008578586,0.0008948013,0.0001053219,0.001516751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001729899,"threshold_uncertainty_score":0.004460633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277799565587363,"score_gpt":0.2527940814017535,"score_spread":0.2400160857458798,"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."}}