{"id":"W4382792612","doi":"10.1101/2023.06.29.547027","title":"Exploring Motor Network Connectivity in State-Dependent Transcranial Magnetic Stimulation: A Proof-of-Concept Study","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"European Commission","keywords":"Transcranial magnetic stimulation; Primary motor cortex; Electroencephalography; Functional connectivity; Neuroscience; Motor cortex; Psychology; Resting state fMRI; Stimulus (psychology); Brain stimulation; Stimulation; Physical medicine and rehabilitation; Medicine; Cognitive psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599787,0.0005280098,0.0003911524,0.0001701838,0.0001272536,0.0003520274,0.0006652952,0.0005213415,0.002008528],"category_scores_gemma":[0.0006480937,0.0001610645,0.0002597455,0.00008071717,0.0003924224,0.0004250219,0.0002903532,0.0005083302,0.0002784905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821753,"about_ca_system_score_gemma":0.0002428373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401721,"about_ca_topic_score_gemma":0.0003492461,"domain_scores_codex":[0.9997973,0.00004012018,0.000007028466,0.00005296955,0.00007278571,0.0000297921],"domain_scores_gemma":[0.9996178,0.0001341889,0.00008673951,0.0000288986,0.00006832016,0.00006405098],"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":[0.0003112304,0.0004586201,0.0002209174,0.0003882608,0.00006029203,0.0002755012,0.00004886258,0.001160349,0.9863985,0.0005059757,0.0005955265,0.009575848],"study_design_scores_gemma":[0.0009431985,0.03560103,0.0202041,0.0001129842,0.000267952,0.002289236,0.0001956916,0.0473759,0.875329,0.001460931,0.01612458,0.00009533991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358765,0.002070998,0.05686733,0.0003291158,0.0001839695,0.0009295417,0.0006592098,0.0003473285,0.002735981],"genre_scores_gemma":[0.9747342,0.0007977237,0.02167824,0.0001691347,0.00003423117,0.0008580257,0.0002894507,0.0000307853,0.001408215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002008528,"threshold_uncertainty_score":0.006719172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0994167566984581,"score_gpt":0.2687613233750357,"score_spread":0.1693445666765776,"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."}}