{"id":"W2128999389","doi":"10.1093/cercor/bhq182","title":"Fronto-striatal Contribution to Lexical Set-Shifting","year":2010,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Putamen; Ventrolateral prefrontal cortex; Set (abstract data type); Wisconsin Card Sorting Test; Functional magnetic resonance imaging; Prefrontal cortex; Task (project management); Neuroscience; Psychology; Caudate nucleus; Lexical decision task; Computer science; Artificial intelligence; Cognitive psychology; Neuropsychology; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000103981,0.0001662922,0.0001974637,0.00004765634,0.0002933732,0.00005209352,0.0002649564,0.0001084399,0.0003302071],"category_scores_gemma":[0.0004245752,0.0001333721,0.00007957478,0.0001949533,0.0001570882,0.0001679873,0.0001489311,0.0004373957,0.0008623268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001724883,"about_ca_system_score_gemma":0.00001379432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002903242,"about_ca_topic_score_gemma":0.000135136,"domain_scores_codex":[0.9985915,0.00004998782,0.0002166122,0.0005198315,0.0001950615,0.0004270371],"domain_scores_gemma":[0.9994113,0.00007511768,0.00006037439,0.0002342253,0.00003965497,0.0001793332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000602454,0.0000520371,0.01578443,0.000001454109,0.000001855631,0.00002885494,0.00005641932,1.363486e-7,0.9753264,0.001567843,0.00265941,0.00446093],"study_design_scores_gemma":[0.001410269,0.0004602183,0.3212304,0.00001245136,0.00003425292,0.0001152268,0.00006334709,0.00004079706,0.6418882,0.001456472,0.03272882,0.0005595276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939702,0.000005483394,0.00005104153,0.002165978,0.001962464,0.000258359,0.00006392568,0.0001649063,0.001357664],"genre_scores_gemma":[0.9963697,0.000001131084,0.00008860524,0.002280005,0.0003447746,0.00001819681,0.000009007441,0.00001218065,0.0008763517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3334382,"threshold_uncertainty_score":0.9999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067671725013161,"score_gpt":0.3661788665209463,"score_spread":0.2755021492708147,"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."}}