{"id":"W2419659605","doi":"10.1016/j.neuroimage.2016.06.003","title":"Assessing cortical synchronization during transcranial direct current stimulation: A graph-theoretical analysis","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Health, British Columbia","keywords":"Transcranial direct-current stimulation; Neuroscience; Electroencephalography; Resting state fMRI; Psychology; Neuromodulation; Power graph analysis; Stimulation; Brain stimulation; Graph; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007643139,0.0004816027,0.0003286645,0.001530983,0.0002307774,0.0005647347,0.000483381,0.0005508192,0.001568416],"category_scores_gemma":[0.005396177,0.0001895269,0.0005584938,0.0008313258,0.0007351356,0.001063001,0.0003851633,0.0003941335,0.0001258782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909665,"about_ca_system_score_gemma":0.0003454756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810609,"about_ca_topic_score_gemma":0.001941954,"domain_scores_codex":[0.9998004,0.00009687106,0.000009850636,0.00004245129,0.00003827554,0.00001213916],"domain_scores_gemma":[0.9974547,0.002282085,0.00009151132,0.0000770435,0.00006927481,0.00002533918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000787687,0.0002421508,0.01290099,0.0005489217,0.0004728552,0.0006681699,0.0006044684,0.4704812,0.09201385,0.1577608,0.001214547,0.2623043],"study_design_scores_gemma":[0.00002657651,0.0001389094,0.009765725,0.00001627227,0.0001070043,0.0002767617,0.0001110002,0.9195594,0.005091656,0.06447864,0.0004024723,0.00002564296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1766332,0.0003378524,0.8196059,0.000206907,0.00001118745,0.0000777244,0.0001317998,0.000170193,0.002825227],"genre_scores_gemma":[0.9368593,0.0002723571,0.06222214,0.0000211274,0.00001828316,0.00004317761,0.00008893245,0.00004677276,0.0004280098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001810609,"threshold_uncertainty_score":0.005246818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607414792317515,"score_gpt":0.3171690294043089,"score_spread":0.2810948814811338,"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."}}