{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001346274,0.0000864972,0.0002005459,0.00008341881,0.0000229895,0.00001350208,0.0000922353,0.00004347975,0.00004636428],"category_scores_gemma":[0.0004452511,0.00006426374,0.0000753331,0.0004090894,0.0001468077,0.0001744766,0.00003939382,0.00007550048,0.00002494182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008608321,"about_ca_system_score_gemma":0.00001896885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.246785e-7,"about_ca_topic_score_gemma":1.307906e-8,"domain_scores_codex":[0.9992766,0.000007192999,0.0002238396,0.00008574958,0.0002697691,0.0001367981],"domain_scores_gemma":[0.9996743,0.00004299241,0.00003879891,0.00008726904,0.00005040033,0.0001062283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002015267,0.0002040215,0.004112424,0.008358008,0.0001601949,0.00006314736,0.01590968,0.003422918,0.3045403,0.6043878,0.0001114322,0.05852861],"study_design_scores_gemma":[0.003491225,0.003750691,0.02069683,0.001221572,0.0003915601,0.0009901718,0.003418332,0.6947101,0.2472612,0.009282763,0.01336867,0.001416943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3456991,0.0001997436,0.6474345,0.00123792,0.0001163615,0.000752576,0.00001565129,0.0001963099,0.004347801],"genre_scores_gemma":[0.9945112,0.000006654765,0.005287608,0.0001403073,0.00002847439,0.00001438326,0.000003935029,0.000004702055,0.000002664322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6912872,"threshold_uncertainty_score":0.2620599,"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."}}