{"id":"W4205900063","doi":"10.1016/j.neuroimage.2021.118788","title":"Connectomics of human electrophysiology","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Connectomics; Electrophysiology; Connectome; Human Connectome Project; Neuroimaging; Modalities","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":[0.001282004,0.0005494836,0.0005620053,0.002133297,0.0003683394,0.00296,0.0005645222,0.0009375978,0.003096465],"category_scores_gemma":[0.004559125,0.0002348128,0.0004597672,0.001802728,0.003711727,0.002965288,0.001631898,0.001422853,0.0005464187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006560595,"about_ca_system_score_gemma":0.000701422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009575252,"about_ca_topic_score_gemma":0.0007726335,"domain_scores_codex":[0.9993452,0.0003086171,0.0000329348,0.0001655302,0.0001126183,0.00003512614],"domain_scores_gemma":[0.998358,0.001063757,0.000175241,0.0002240033,0.0001237144,0.00005542318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006125122,0.00003218841,0.006704576,0.001459872,0.0002203515,0.0003734695,0.001116388,0.009989865,0.01708858,0.7958189,0.006661019,0.1604735],"study_design_scores_gemma":[0.000008397466,0.00006875236,0.01993042,0.0004859106,0.0000598251,0.0011859,0.0004297064,0.01239726,0.002435524,0.8971637,0.06576671,0.00006785534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04453168,0.0933558,0.765307,0.01502735,0.001005681,0.0001686173,0.001898992,0.0006704898,0.07803441],"genre_scores_gemma":[0.7265611,0.09487747,0.1631339,0.003587589,0.003076102,0.0004854823,0.001293313,0.0002830813,0.006701966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003096465,"threshold_uncertainty_score":0.01035869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419950679830646,"score_gpt":0.288068420727097,"score_spread":0.2438689139287906,"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."}}