{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008713084,0.0001171168,0.0001427892,0.00004554454,0.0003736703,0.0001001779,0.000174026,0.00003683437,0.00009522947],"category_scores_gemma":[0.0005125233,0.00005903706,0.0000504105,0.0004314101,0.001025884,0.0001793088,0.00006118885,0.00006846513,0.000006898033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527893,"about_ca_system_score_gemma":0.00008282432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002087595,"about_ca_topic_score_gemma":0.0001062861,"domain_scores_codex":[0.9981708,0.0001408821,0.000388219,0.0005500101,0.0004919096,0.0002581984],"domain_scores_gemma":[0.998558,0.0001877038,0.0004241077,0.0006817628,0.00008381691,0.00006453579],"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":[0.00004252445,0.0001120039,0.07351314,0.00002004819,0.000009131396,0.0001302492,0.0002321661,0.01612408,0.8993668,0.0001856856,0.008694793,0.001569397],"study_design_scores_gemma":[0.0006752193,0.0001467897,0.02757212,0.0002389096,0.00002997859,0.000197029,0.0001002696,0.007485589,0.9447405,0.007813869,0.01057077,0.000428915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8328927,0.00001002575,0.1638097,0.0008542286,0.001988515,0.0002843952,0.00001232654,0.00005355545,0.00009455557],"genre_scores_gemma":[0.9993062,4.08334e-7,0.0000875662,0.00006999514,0.00005594102,0.000005779508,0.00002215574,0.00001068589,0.000441264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664135,"threshold_uncertainty_score":0.3779912,"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."}}