{"id":"W2400809087","doi":"10.1152/jn.00260.2016","title":"A combined TMS-EEG study of short-latency afferent inhibition in the motor and dorsolateral prefrontal cortex","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; BrainsWay","keywords":"Transcranial magnetic stimulation; N100; Neuroscience; Dorsolateral prefrontal cortex; Psychology; Motor cortex; Electroencephalography; Prefrontal cortex; P200; Event-related potential; Stimulation; Cognition; Perception","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":[0.0001393646,0.0002804879,0.0001793177,0.0003464841,0.0001052903,0.0001220632,0.0001032945,0.0001961082,0.0008009784],"category_scores_gemma":[0.0003743393,0.00009734766,0.0001074333,0.0001948746,0.0001472772,0.0001249609,0.0001210165,0.0001629226,0.0001103437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339529,"about_ca_system_score_gemma":0.0001291716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581828,"about_ca_topic_score_gemma":0.00240322,"domain_scores_codex":[0.9999359,0.00001330721,0.000003517025,0.00002193423,0.00001477042,0.0000104831],"domain_scores_gemma":[0.9999045,0.00002586553,0.00002113474,0.00000816258,0.00002145993,0.00001889355],"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":[0.003003945,0.0002465934,0.08540858,0.0003136039,0.0002156474,0.001427083,0.0002693465,0.0003907746,0.8508626,0.0001106133,0.0001454592,0.05760571],"study_design_scores_gemma":[0.00005708531,0.001096649,0.9813507,0.000007339612,0.00008115116,0.002908949,0.00007485598,0.0007196951,0.01320305,0.00008576723,0.0004056656,0.00000897992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995997,0.001067368,0.002013552,0.0000223519,0.000005214256,0.00003499019,0.00010899,0.000013217,0.0007372745],"genre_scores_gemma":[0.9983122,0.0002401962,0.001061854,0.00001367168,0.00002165922,0.00002295122,0.00007991837,0.000002486549,0.0002450239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581828,"threshold_uncertainty_score":0.003145278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734824955413423,"score_gpt":0.2677113232072816,"score_spread":0.2403630736531474,"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."}}