{"id":"W2757400167","doi":"10.1109/tbme.2017.2757878","title":"Low-to-High Cross-Frequency Coupling in the Electrical Rhythms as Biomarker for Hyperexcitable Neuroglial Networks of the Brain","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Local field potential; Neuroscience; Rhythm; Coupling (piping); Electroencephalography; Physics; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000279909,0.0002595873,0.0001616478,0.0006117734,0.0001169141,0.0002443248,0.0001596549,0.0003337487,0.001266622],"category_scores_gemma":[0.000702625,0.00007514044,0.0001437519,0.0002710045,0.0003324005,0.0003446215,0.0003546912,0.0002541029,0.000123593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079969,"about_ca_system_score_gemma":0.0001254912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571301,"about_ca_topic_score_gemma":0.0004976684,"domain_scores_codex":[0.9998776,0.00001905255,0.00001415207,0.00003192346,0.00003676141,0.00002059008],"domain_scores_gemma":[0.9995678,0.00009424214,0.0001878599,0.00003466307,0.00006319393,0.00005223988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005447284,0.0001448838,0.1151548,0.0003717443,0.0001356013,0.0005512972,0.0001699961,0.001803107,0.8565129,0.0002611764,0.000217745,0.02413195],"study_design_scores_gemma":[0.00002721755,0.001278261,0.841845,0.00004639072,0.0001637726,0.002997648,0.0003435498,0.01365645,0.1373015,0.001109468,0.001201056,0.00002976622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900404,0.0009598512,0.00811239,0.00006812777,0.0000134545,0.00003446971,0.0001507947,0.00007073413,0.0005498726],"genre_scores_gemma":[0.9981179,0.0001720464,0.001432572,0.00001649536,0.000008870034,0.0000170999,0.00007003514,0.000004974741,0.0001599345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001266622,"threshold_uncertainty_score":0.004237294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335270159351285,"score_gpt":0.3320364186151252,"score_spread":0.2985094026799967,"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."}}