{"id":"W1985220467","doi":"10.1089/brain.2012.0120","title":"The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging","year":2013,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neuroinformatics; Neuroimaging; Computer science; Computational model; Neuroscience; Connectomics; Inference; Cognitive science; Neurophysiology; Brain activity and meditation; Computational neuroscience; Brain function; Artificial intelligence; Connectome; Data science; Psychology; Electroencephalography; Functional connectivity","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0007832573,0.0002999032,0.0002515771,0.0001029021,0.001542146,0.0004443311,0.0002819347,0.00006261021,0.0000310836],"category_scores_gemma":[0.04256836,0.000229798,0.00009013958,0.0003063151,0.0005183967,0.0007345388,0.0003557498,0.0004341906,0.00009105132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007299657,"about_ca_system_score_gemma":0.00007707159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003634588,"about_ca_topic_score_gemma":0.0001393787,"domain_scores_codex":[0.9973732,0.0005894889,0.0002783422,0.0008486086,0.0004228412,0.0004875371],"domain_scores_gemma":[0.9440212,0.05530593,0.0001014171,0.0002924999,0.0001572451,0.0001216625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003550701,0.0005970733,0.01293679,0.00006752156,0.0001622597,0.00005339537,0.003519067,0.1425767,0.3050686,0.2147657,0.07370996,0.2461878],"study_design_scores_gemma":[0.0006425742,0.000122734,0.009939819,0.00001655713,0.000005454621,0.00007251803,0.0005040466,0.9463411,0.002092366,0.03817361,0.001754293,0.0003349357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689823,0.0000696287,0.01909794,0.1098434,0.0004335066,0.0005372966,0.00001546976,0.0002313117,0.000789188],"genre_scores_gemma":[0.9864305,0.000008269392,0.0002624284,0.01266123,0.0001490743,0.00012031,0.000001919753,0.00003452358,0.0003317128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8037643,"threshold_uncertainty_score":0.9997577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806128960357515,"score_gpt":0.2651995468344006,"score_spread":0.2371382572308255,"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."}}