{"id":"W4366601881","doi":"10.7554/elife.83232","title":"TMS-evoked responses are driven by recurrent large-scale network dynamics","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Centre for Addiction and Mental Health","keywords":"Transcranial magnetic stimulation; Neuroscience; Electroencephalography; Computer science; Network dynamics; Neurophysiology; Brain activity and meditation; Inhibitory postsynaptic potential; Waveform; Psychology; Stimulation; Physics; Artificial intelligence; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004080777,0.0001701584,0.0002112697,0.00008089613,0.0004934266,0.00004592218,0.0002378539,0.00006476077,0.00004266551],"category_scores_gemma":[0.007793168,0.0001676077,0.0000865633,0.0008348783,0.00009857073,0.0001089474,0.0002986953,0.0002204582,0.0008275134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151037,"about_ca_system_score_gemma":0.00003843601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004648978,"about_ca_topic_score_gemma":0.0002278019,"domain_scores_codex":[0.9980021,0.000247826,0.0001846526,0.0005518726,0.0005060678,0.0005075131],"domain_scores_gemma":[0.9954693,0.003963784,0.00009920398,0.000316493,0.00005893495,0.00009223488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001598589,0.00008626735,0.02420469,0.00001439007,0.00001313724,0.00003098205,0.0002365321,0.0006907657,0.003487165,0.0007987494,0.9698252,0.0004522777],"study_design_scores_gemma":[0.001100452,0.0003140646,0.1689855,0.0001239718,0.00002637414,0.00001494822,0.0008812955,0.06314582,0.005415723,0.001230605,0.7580088,0.000752495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608239,0.0003059138,0.0005159323,0.02985861,0.003817596,0.0004285862,0.0007460963,0.001039192,0.00246419],"genre_scores_gemma":[0.9754975,0.0003856556,0.0001319116,0.007155724,0.0006814163,0.0001106466,0.00004661172,0.00005733784,0.01593324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2118164,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343587853720516,"score_gpt":0.2822094737426707,"score_spread":0.2487735952054656,"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."}}