{"id":"W2999048241","doi":"10.1111/ejn.14960","title":"Recurrence quantification analysis of dynamic brain networks","year":2020,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Air Force Office of Scientific Research; Engineering and Physical Sciences Research Council; Health and Care Research Wales; Horizon 2020 Framework Programme; National Natural Science Foundation of China; H2020 European Research Council; Canada Research Chairs","keywords":"Neurostimulation; Recurrence quantification analysis; Magnetoencephalography; Epilepsy; Electroencephalography; Brain function; Network dynamics; Function (biology)","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":[0.001217497,0.0005281619,0.0004940067,0.003329256,0.0003511409,0.0008617603,0.0005806315,0.0004855313,0.001734903],"category_scores_gemma":[0.006497041,0.0001970437,0.0006945553,0.001720181,0.0005159776,0.001301104,0.0006722285,0.0005473882,0.000299322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856763,"about_ca_system_score_gemma":0.0004349216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249854,"about_ca_topic_score_gemma":0.00277357,"domain_scores_codex":[0.9994811,0.0001316182,0.00003970439,0.0001539863,0.0001340889,0.00005953524],"domain_scores_gemma":[0.9978077,0.001049489,0.0005243942,0.0002077298,0.0003252794,0.00008537362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003873139,0.0001169949,0.04267441,0.0005763436,0.0006020764,0.001016834,0.00116122,0.3807244,0.05793975,0.1090268,0.007741303,0.3980327],"study_design_scores_gemma":[0.00001006931,0.00007906371,0.02002881,0.00003891992,0.00008427484,0.0004811817,0.0001420859,0.9275984,0.00425103,0.04356505,0.003666541,0.00005458089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033926,0.0009921629,0.8909095,0.0002606494,0.00003561702,0.00007228391,0.001051817,0.0009497967,0.002335532],"genre_scores_gemma":[0.8807272,0.0006560096,0.1154987,0.00005796261,0.00008019876,0.000169156,0.001295915,0.000168366,0.001346541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004249854,"threshold_uncertainty_score":0.00845021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822165506960675,"score_gpt":0.2929297432875013,"score_spread":0.2147080882178946,"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."}}