{"id":"W3088839653","doi":"10.1101/2020.09.22.308981","title":"A synergistic core for human brain evolution and cognition","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"NIH Blueprint for Neuroscience Research; NIHR Cambridge Biomedical Research Centre; McDonnell Center for Systems Neuroscience; Gates Cambridge Trust; Biotechnology and Biological Sciences Research Council; Patrick Berthoud Charitable Trust; Royal College of Anaesthetists; National Institute for Health and Care Research; Medical Research Council; Wellcome Trust; Cambridge Trust; National Institutes of Health; University of Cambridge; Ad Astra Chandaria Foundation","keywords":"Cognition; Neuroscience; Human brain; Psychology; Cognitive science; Cytoarchitecture; Prefrontal cortex; Neuroimaging; 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":[0.001826391,0.0003973851,0.000421836,0.001712021,0.0003984755,0.001219005,0.0003855046,0.0004247639,0.002366164],"category_scores_gemma":[0.004107647,0.0002133606,0.000612482,0.001100417,0.002225689,0.001886216,0.001199765,0.0006768387,0.0001701439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166632,"about_ca_system_score_gemma":0.0004069901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621688,"about_ca_topic_score_gemma":0.001166889,"domain_scores_codex":[0.9994361,0.0002503239,0.00001886033,0.0002071264,0.00005892208,0.00002861884],"domain_scores_gemma":[0.9987357,0.0004992938,0.0002935002,0.0002541343,0.0001119451,0.0001054736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004211129,0.00008366005,0.1245615,0.001377943,0.00427952,0.0005424515,0.002174583,0.03897125,0.04635397,0.5756056,0.004352351,0.2012761],"study_design_scores_gemma":[0.00002058469,0.0001038073,0.1442552,0.0001682495,0.0005849736,0.0004363374,0.0003379353,0.03843686,0.003148489,0.8059733,0.006485744,0.00004867131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6387885,0.009970937,0.3228697,0.004225626,0.00006970866,0.00005187174,0.001222308,0.0004437488,0.02235756],"genre_scores_gemma":[0.9851992,0.0006809195,0.01351709,0.0001018044,0.00002844211,0.00001599352,0.0001470534,0.00002663488,0.0002829651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002366164,"threshold_uncertainty_score":0.009658992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585123920989572,"score_gpt":0.2647970686580934,"score_spread":0.2089458294481977,"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."}}