{"id":"W2007193596","doi":"10.1371/journal.pcbi.1003591","title":"Structurally-Constrained Relationships between Cognitive States in the Human Brain","year":2014,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute for Collaborative Biotechnologies; Army Research Office; Errett Fisher Foundation; John Templeton Foundation; David and Lucile Packard Foundation; National Science Foundation","keywords":"Cognition; Task (project management); Resting state fMRI; Working memory; Cognitive psychology; Elementary cognitive task; Psychology; Functional connectivity; Brain mapping; Brain activity and meditation; Neuroscience; Human brain; Function (biology); Biology; Electroencephalography; Evolutionary biology","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":[0.0002558207,0.0001713784,0.0001656776,0.0005915133,0.0002429225,0.0005671575,0.0002272342,0.0002564176,0.0007281372],"category_scores_gemma":[0.00360369,0.0002119102,0.0001919024,0.0005353311,0.0008700581,0.0009005805,0.0005628635,0.0002594779,0.00006483986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284417,"about_ca_system_score_gemma":0.0002116679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458705,"about_ca_topic_score_gemma":0.004027308,"domain_scores_codex":[0.9998139,0.0000591036,0.00000887959,0.00006942131,0.00003052151,0.00001825022],"domain_scores_gemma":[0.9992653,0.0003441744,0.0002226573,0.00008269287,0.00004398974,0.00004125516],"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":[0.0008942798,0.0002732132,0.3075101,0.0003809645,0.0006599177,0.0008921243,0.003777665,0.1395932,0.3749247,0.05803835,0.0007659853,0.1122895],"study_design_scores_gemma":[0.00001788672,0.0001253002,0.8686368,0.00001443512,0.00005330845,0.0005453472,0.0002473119,0.07290966,0.00471507,0.05230516,0.0003953258,0.00003439827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884454,0.00008462647,0.01038477,0.00005586937,9.383263e-7,0.000007006716,0.00007984552,0.00002095949,0.0009205458],"genre_scores_gemma":[0.9980813,0.00004044764,0.001688812,0.000009730178,0.00000281021,0.000008010012,0.00009482168,0.000004479172,0.0000694714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001458705,"threshold_uncertainty_score":0.002900422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616755053529872,"score_gpt":0.3082915775907762,"score_spread":0.2221240270554775,"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."}}