{"id":"W2312690316","doi":"10.1038/srep23599","title":"Enhancing the Temporal Complexity of Distributed Brain Networks with Patterned Cerebellar Stimulation","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research; National Ataxia Foundation; National Institutes of Health; Harvard University; Natural Sciences and Engineering Research Council of Canada; Harvard Catalyst; Sidney R. Baer, Jr. Foundation","keywords":"Neuroscience; Cerebellum; Sensory system; Cerebellar hemisphere; Cognition; Cerebellar vermis; Transcranial magnetic stimulation; Stimulation; Biology; Psychology","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":[0.00009338232,0.0002442508,0.0001344218,0.0001637466,0.0000652169,0.0002169979,0.000173685,0.0001621593,0.001124446],"category_scores_gemma":[0.0004580089,0.0001218498,0.0001581033,0.00007335578,0.0002945291,0.0002688817,0.000352872,0.0002277975,0.00008302958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474401,"about_ca_system_score_gemma":0.0001507904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004199281,"about_ca_topic_score_gemma":0.001073238,"domain_scores_codex":[0.999948,0.000009389264,0.000004951656,0.00001520866,0.00001017022,0.00001222081],"domain_scores_gemma":[0.999891,0.00005514122,0.00002455156,0.00001021701,0.000006105787,0.00001291592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004688474,0.00006785349,0.0007814064,0.00009181319,0.00002508423,0.0001060144,0.00007629533,0.00357643,0.9734147,0.0004737119,0.00005968914,0.02085824],"study_design_scores_gemma":[0.000666765,0.006234074,0.1395265,0.0001056017,0.0003847843,0.001377689,0.0002817161,0.1134017,0.7232826,0.009400379,0.005281552,0.00005666259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952363,0.0005214451,0.04476625,0.0001265397,0.00003134541,0.00008374249,0.00007917517,0.0001541771,0.001874407],"genre_scores_gemma":[0.9934632,0.0001976112,0.005984853,0.00002819104,0.00001026612,0.00004371418,0.00001878821,0.000009850659,0.0002435284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001124446,"threshold_uncertainty_score":0.003761649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751845844664542,"score_gpt":0.2505951604647144,"score_spread":0.223076702018069,"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."}}