{"id":"W2929474527","doi":"10.1016/j.tine.2019.04.001","title":"Linking brain network reconfiguration and intelligence: Are we there yet?","year":2019,"lang":"en","type":"review","venue":"Trends in Neuroscience and Education","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; University of British Columbia","funders":"","keywords":"Neuroscience; Cognitive science; Neuroimaging; Cognitive neuroscience; Cognition; Computer science; Computational neuroscience; Neuroinformatics; Control reconfiguration; Functional neuroimaging; Psychology; Data science; Cognitive psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110254,0.001429342,0.002364454,0.001910724,0.0003051583,0.002197848,0.001419047,0.002487642,0.004397116],"category_scores_gemma":[0.002599004,0.0003715744,0.0005846798,0.002233847,0.001376974,0.002768361,0.001009482,0.00248849,0.001696612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006684,"about_ca_system_score_gemma":0.002294472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307719,"about_ca_topic_score_gemma":0.004679261,"domain_scores_codex":[0.9997812,0.00004285639,0.00003339012,0.00007044247,0.00004957542,0.0000226075],"domain_scores_gemma":[0.9987141,0.0008548361,0.0001276839,0.00003237047,0.0001939839,0.0000771956],"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":[0.0001173284,0.00005354869,0.000473014,0.01897409,0.0002836443,0.0001975704,0.00006818677,0.0003556694,0.0006087589,0.006342373,0.03315233,0.9393735],"study_design_scores_gemma":[0.0000682422,0.000192974,0.004413504,0.02803129,0.001174894,0.002496364,0.0003429946,0.0004608635,0.0005856779,0.03026409,0.9318588,0.0001102568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006011802,0.9983108,0.0001533428,0.0008297386,0.000231241,0.000002090066,0.00001492276,0.000006117686,0.0003915743],"genre_scores_gemma":[0.0006441165,0.9979125,0.000248071,0.0004533824,0.0005203146,0.000005571074,0.00002005991,0.000001657973,0.0001942977],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004397116,"threshold_uncertainty_score":0.01470983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2072610878973389,"score_gpt":0.4011001922445168,"score_spread":0.1938391043471779,"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."}}