{"id":"W2999514669","doi":"10.3934/mbe.2020116","title":"Information theoretic measures of perinatal cardiotocography synchronization","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mutual information; Transfer entropy; Information transfer; Cardiotocography; Pathological; Conditional entropy; Bivariate analysis; Fetal heart rate; Synchronization (alternating current); Entropy (arrow of time); Fetus; Statistics; Mathematics; Medicine; Internal medicine; Heart rate; Pregnancy; Principle of maximum entropy; Blood pressure; Biology; Physics","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":[0.001850527,0.0003746229,0.0003001192,0.002280479,0.0001792866,0.000871242,0.000311973,0.0003612823,0.0006391643],"category_scores_gemma":[0.01269413,0.0001538391,0.0003019244,0.0009871644,0.0007314403,0.00102527,0.0007656545,0.0003361568,0.00008433875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006963942,"about_ca_system_score_gemma":0.000349354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005531273,"about_ca_topic_score_gemma":0.0003106552,"domain_scores_codex":[0.9992249,0.0003080022,0.00005909065,0.0001334079,0.000218509,0.00005617916],"domain_scores_gemma":[0.992416,0.005194928,0.001300237,0.0004017219,0.0004948871,0.0001921063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001012106,0.0002079517,0.1737446,0.0004073575,0.0006125483,0.0008566952,0.0008539333,0.46613,0.04938208,0.1245009,0.0007761027,0.1815158],"study_design_scores_gemma":[0.0000211585,0.0006098906,0.1660938,0.00005938421,0.0001219922,0.0007989566,0.0002585759,0.7556184,0.01233108,0.06296381,0.0009991664,0.0001238638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7175821,0.001014996,0.2763712,0.0002227656,0.0000303129,0.00004561424,0.0005093239,0.0001123346,0.004111366],"genre_scores_gemma":[0.9898646,0.0001209608,0.009594443,0.00001089398,0.00001877119,0.00002014195,0.0001232423,0.00001001928,0.0002368514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280479,"threshold_uncertainty_score":0.009786665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192413819958176,"score_gpt":0.2178085462438372,"score_spread":0.2058844080442555,"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."}}