{"id":"W3087177351","doi":"10.1038/s41598-020-72128-x","title":"Beta oscillations following performance feedback predict subsequent recall of task-relevant information","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Victoria; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Recall; Reinforcement learning; Stimulus (psychology); Reinforcement; Prefrontal cortex; Task (project management); Electroencephalography; Mean squared prediction error; Cognitive psychology; Psychology; Computer science; Neuroscience; Cognition; Artificial intelligence; Machine learning; Social psychology","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":[0.0005657817,0.0001217484,0.0001631983,0.0001221209,0.0003368175,0.0002004711,0.000155147,0.00004069768,0.00003871661],"category_scores_gemma":[0.0006220862,0.0001059449,0.0001274966,0.0008521974,0.000137053,0.001116651,0.00009255128,0.0001231375,0.00005324854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004154093,"about_ca_system_score_gemma":0.0001129358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008658175,"about_ca_topic_score_gemma":0.000002304877,"domain_scores_codex":[0.9978504,0.00004221854,0.0006800861,0.0004535729,0.0007346941,0.0002390829],"domain_scores_gemma":[0.9988607,0.00004769095,0.0004451506,0.0004081005,0.0001018729,0.0001364413],"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":[0.00002692291,0.00004602494,0.009898518,0.0001098368,0.000008675445,0.00006249374,0.0007357036,0.004800074,0.9717664,0.0003671764,0.00526159,0.006916607],"study_design_scores_gemma":[0.0006669941,0.0004357772,0.02492544,0.0001834092,0.00007676132,0.0002413947,0.0001458447,0.2086455,0.6204903,0.001739849,0.1417731,0.0006757031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900816,0.000009158715,0.0005703532,0.0007035965,0.005412341,0.0003677559,0.00001161935,0.00009700473,0.002746584],"genre_scores_gemma":[0.9991712,0.000007548892,0.0001236523,0.0002384805,0.00004097692,0.000009135585,0.00004860186,0.000008244568,0.0003521412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512761,"threshold_uncertainty_score":0.4320307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615889865431524,"score_gpt":0.229406586054413,"score_spread":0.2032476874000978,"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."}}