{"id":"W2132707294","doi":"10.1073/pnas.0805423105","title":"Neural predictors of moment-to-moment fluctuations in cognitive flexibility","year":2008,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Cognitive flexibility; Flexibility (engineering); Prefrontal cortex; Anterior cingulate cortex; Task (project management); Posterior parietal cortex; Cognition; Psychology; Task switching; Neuroscience; Cognitive psychology; Moment (physics); Computer science; Physics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006081414,0.0001856414,0.0002121211,0.0004073605,0.0001075246,0.0005290116,0.0001572346,0.0003257326,0.0008814134],"category_scores_gemma":[0.005563176,0.0001762443,0.0001636645,0.0002510321,0.0003035239,0.0002797295,0.0003096877,0.0006082423,0.0000917681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489092,"about_ca_system_score_gemma":0.0001124675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009290201,"about_ca_topic_score_gemma":0.001661603,"domain_scores_codex":[0.9998701,0.00003100969,0.000009475732,0.00003889899,0.00002583082,0.00002470402],"domain_scores_gemma":[0.9981516,0.00109801,0.0003900649,0.0001192741,0.00006476996,0.0001763457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001618006,0.0003457991,0.8344768,0.00006460837,0.000292686,0.0003159772,0.0005934942,0.008996967,0.1194533,0.0009444124,0.0003007318,0.03259723],"study_design_scores_gemma":[0.000004751472,0.00007366636,0.9951939,0.000002871163,0.00001255978,0.00008324255,0.00002927622,0.003283726,0.0007794871,0.0004981436,0.00003078219,0.000007680875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986429,0.000051547,0.0008099512,0.00003061118,0.000002718921,0.000005156674,0.0000787751,0.000008239337,0.0003701697],"genre_scores_gemma":[0.9996257,0.00002337784,0.0001963384,0.00000618849,0.000003300157,0.000004293138,0.00007258523,0.000002281778,0.00006586894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009290201,"threshold_uncertainty_score":0.003216207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2524746914875697,"score_gpt":0.4176912357943113,"score_spread":0.1652165443067415,"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."}}