{"id":"W2912518300","doi":"10.3389/fnins.2019.00076","title":"MEG/EEG Group Analysis With Brainstorm","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":238,"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 Neurological Disorders and Stroke; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Foundation for the National Institutes of Health","keywords":"Computer science; Executable; Scripting language; Brainstorming; Human–computer interaction; Interface (matter); Neuroinformatics; MATLAB; Artificial intelligence; Data science; Programming language; Operating system","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":[0.001957858,0.002034989,0.001401787,0.002341092,0.000628106,0.001493339,0.001939861,0.0007793367,0.1026952],"category_scores_gemma":[0.007091444,0.0006785092,0.00148171,0.001698853,0.0006160819,0.00109934,0.002020685,0.001861063,0.02153417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567828,"about_ca_system_score_gemma":0.001149465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704735,"about_ca_topic_score_gemma":0.003138166,"domain_scores_codex":[0.9993833,0.0000968542,0.00007879231,0.0002238214,0.0001735195,0.0000438052],"domain_scores_gemma":[0.9983678,0.000922572,0.0001151413,0.0002759775,0.0002671136,0.0000514298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001286672,0.0002808658,0.002492725,0.003499243,0.0008214533,0.001213825,0.002037154,0.01122771,0.03933204,0.01111019,0.4510451,0.475653],"study_design_scores_gemma":[0.0009412782,0.0005939512,0.02360599,0.0005119054,0.0005945264,0.002372644,0.0008759146,0.3108804,0.123375,0.06667395,0.4689653,0.0006092279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01498921,0.0004048522,0.7026623,0.0003928217,0.0006917225,0.001706574,0.02939958,0.2391935,0.01055931],"genre_scores_gemma":[0.05865125,0.0004023713,0.8425515,0.0004832082,0.0002830873,0.0126607,0.01607809,0.05715659,0.01173314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1026952,"threshold_uncertainty_score":0.3435498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468665184746176,"score_gpt":0.225205469423096,"score_spread":0.2105188175756342,"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."}}