{"id":"W2968092170","doi":"10.1162/netn_a_00107","title":"The hidden repertoire of brain dynamics and dysfunction","year":2019,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Neuroscience; Computer science; Cognition; Cognitive science; Dynamics (music); Neuromodulation; Network dynamics; Cognitive psychology; Psychology; Biology; Mathematics","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":[0.0007047783,0.0004386553,0.0004043101,0.0008484457,0.0003380497,0.001425328,0.0004917158,0.000712316,0.001641591],"category_scores_gemma":[0.00208723,0.0002078403,0.0003816376,0.0003165024,0.003904334,0.002988372,0.001481007,0.001140817,0.0001437482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005212396,"about_ca_system_score_gemma":0.0003545702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004665987,"about_ca_topic_score_gemma":0.000289607,"domain_scores_codex":[0.9997179,0.00008718096,0.00001793353,0.00008372925,0.00005474763,0.00003855821],"domain_scores_gemma":[0.9993113,0.0003085866,0.0001190544,0.000168916,0.00004062347,0.0000515909],"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":[0.00008465911,0.00003390089,0.008371606,0.0001533679,0.000068327,0.0007691144,0.001023121,0.02998289,0.01648578,0.896455,0.0008378208,0.04573449],"study_design_scores_gemma":[0.000005600037,0.00004871221,0.007338372,0.00003464056,0.00001009524,0.0006150602,0.0002186401,0.02960579,0.001221456,0.9586285,0.002249322,0.00002376198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5017081,0.00449636,0.4572982,0.005874558,0.0001176543,0.00006679441,0.000535375,0.0005431801,0.02935968],"genre_scores_gemma":[0.9800279,0.0009964491,0.01787626,0.0001192628,0.000050249,0.00004509905,0.00006585169,0.00003197751,0.0007869732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641591,"threshold_uncertainty_score":0.005491674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630494305310591,"score_gpt":0.2316927397033107,"score_spread":0.2153877966502048,"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."}}