{"id":"W2730163678","doi":"10.1016/j.neuroimage.2017.06.048","title":"Modulation of cognitive cerebello-cerebral functional connectivity by lateral cerebellar continuous theta burst stimulation","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; Sunnybrook Health Science Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"CTBS; Neuroscience; Transcranial magnetic stimulation; Cerebellum; Psychology; Functional magnetic resonance imaging; Cognition; Stimulation; Neuroplasticity; Resting state fMRI; Primary motor cortex; Motor cortex; Inhibitory postsynaptic potential; Neurostimulation","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002845062,0.0003076021,0.0003937375,0.0001088372,0.0009958693,0.0001843103,0.0003044675,0.0001088795,0.0001767159],"category_scores_gemma":[0.01103485,0.0003103332,0.000159108,0.000122262,0.0005851302,0.0009999959,0.0002681471,0.0003026222,0.00007731008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005643761,"about_ca_system_score_gemma":0.00004629159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001486894,"about_ca_topic_score_gemma":0.00003075501,"domain_scores_codex":[0.997502,0.0002891704,0.0003474761,0.000892788,0.0006045997,0.0003639338],"domain_scores_gemma":[0.9948477,0.003685731,0.000537907,0.0005968057,0.0002449723,0.00008687068],"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":[0.0008230315,0.0006383999,0.1771581,0.00005099321,0.00006230666,0.00002955726,0.0003660221,0.0006373274,0.8089052,0.001949918,0.005727667,0.003651425],"study_design_scores_gemma":[0.002415965,0.0003714273,0.8465875,0.00004469121,0.00005316879,0.00002874913,0.00004476991,0.01110098,0.135973,0.002358366,0.0006369806,0.0003843348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867494,0.00001839136,0.001538358,0.002234394,0.0009225131,0.0005482757,0.0003715179,0.000125869,0.007491257],"genre_scores_gemma":[0.9976639,0.000007536196,0.00002193909,0.0006711233,0.0001852454,0.00002285285,0.00003526568,0.00004381115,0.001348388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6729322,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428142409465406,"score_gpt":0.2760404546075166,"score_spread":0.233226213660976,"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."}}