{"id":"W2912331266","doi":"10.1016/j.brs.2018.12.466","title":"The Association Between Transcranial Magnetic Stimulation Evoked Potential Response and Resting Electroencephalography","year":2019,"lang":"en","type":"article","venue":"Brain stimulation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Transcranial magnetic stimulation; Electroencephalography; Resting state fMRI; Neuroscience; Psychology; EEG-fMRI; Prefrontal cortex; Brain activity and meditation; Stimulation; Audiology; Medicine; Cognition","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001140693,0.0001589496,0.0001530628,0.0001391708,0.0004196003,0.0002591828,0.000177034,0.0001149364,0.00001820535],"category_scores_gemma":[0.001116515,0.000132159,0.00006887758,0.0003745435,0.00005767302,0.0003254886,0.00003292925,0.0002042026,0.0000243476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000695401,"about_ca_system_score_gemma":0.00002981586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230622,"about_ca_topic_score_gemma":0.0000047613,"domain_scores_codex":[0.9976702,0.0007685277,0.0003347627,0.0004191413,0.000463002,0.0003443877],"domain_scores_gemma":[0.9950487,0.004440092,0.0001953441,0.0001892666,0.00006938085,0.00005724326],"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":[0.0009744259,0.00002641863,0.1149566,0.00001393931,0.00001318189,0.000002748857,0.0006606111,0.01263675,0.8527159,0.0003382614,0.0001740134,0.01748708],"study_design_scores_gemma":[0.001341297,0.0005433144,0.8601344,0.00002586366,0.00002934582,0.000005284284,0.00002034581,0.1276166,0.007417209,0.00198876,0.00068983,0.0001876725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934927,0.00005096576,0.003366254,0.001903599,0.0002837646,0.0005700919,0.000008821396,0.0001225138,0.0002012477],"genre_scores_gemma":[0.9987316,0.00000627027,0.0002256446,0.000207095,0.0001792684,0.000007713601,0.000008567039,0.00001828425,0.0006156188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8452987,"threshold_uncertainty_score":0.5389289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303831404456496,"score_gpt":0.258446949409308,"score_spread":0.245408635364743,"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."}}