{"id":"W4246261737","doi":"10.1109/jproc.2012.2215773","title":"Cognitive Control","year":2012,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Reinforcement learning; Computer science; Controller (irrigation); Cognition; Information flow; Perception; Control (management); Set (abstract data type); Information theory; State (computer science); Metric (unit); Artificial intelligence; Human–computer interaction; Engineering; Psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004104373,0.00006585056,0.00008706476,0.0000407458,0.00009887698,0.00004391055,0.0006591888,0.00002104556,0.000003955682],"category_scores_gemma":[0.0001751805,0.0000433526,0.00006037364,0.000341348,0.00008820404,0.0009321411,0.0001275628,0.00007467305,0.0000258972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068478,"about_ca_system_score_gemma":0.00001783068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003788531,"about_ca_topic_score_gemma":1.523413e-7,"domain_scores_codex":[0.9992843,0.000003771991,0.0001021805,0.0001246812,0.0002314397,0.0002536192],"domain_scores_gemma":[0.9994595,0.00006001385,0.0001059078,0.00005651393,0.0002595806,0.00005845783],"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":[0.00004568676,0.0004278116,0.2030071,0.0001337628,0.0001213431,4.928494e-7,0.01350208,0.000001569477,0.4539551,0.2190334,0.00983541,0.0999363],"study_design_scores_gemma":[0.00164058,0.0001340428,0.159625,0.0003727259,0.00007361511,0.00005471758,0.001329626,0.003021165,0.8141115,0.01510304,0.004006471,0.0005275204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038491,0.0001609706,0.03686949,0.00179572,0.001280854,0.0003958797,0.000003311816,0.0001023356,0.05554229],"genre_scores_gemma":[0.9984124,0.000002371458,0.0006075092,0.0006309368,0.0001090713,0.000009761481,1.617152e-8,0.000002599684,0.0002253833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3601565,"threshold_uncertainty_score":0.1767868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198788056967812,"score_gpt":0.2462238968506146,"score_spread":0.2263450911538334,"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."}}