{"id":"W2591708573","doi":"10.1016/j.neuropsychologia.2017.03.003","title":"It's all about timing: An electrophysiological examination of feedback-based learning with immediate and delayed feedback","year":2017,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"MGH Institute of Health Professions","keywords":"Psychology; Negative feedback; Electrophysiology; Event-related potential; Positive feedback; Auditory feedback; Electroencephalography; Negativity effect; Context (archaeology); Neuroscience; Cognitive psychology; Audiology; Medicine","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":[0.0007147245,0.0003568487,0.0002185869,0.0003402198,0.0001351941,0.0005319947,0.000510858,0.0006170521,0.002539088],"category_scores_gemma":[0.006457276,0.0001917307,0.0001897552,0.0002647245,0.0006677175,0.001213159,0.0003194444,0.0007654075,0.0002602006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198988,"about_ca_system_score_gemma":0.0003327952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006895275,"about_ca_topic_score_gemma":0.0004918027,"domain_scores_codex":[0.9997193,0.00003665429,0.00002571917,0.00005671586,0.0001133669,0.0000481857],"domain_scores_gemma":[0.9975291,0.001599764,0.0003195544,0.0001587778,0.0002079953,0.0001849275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003804112,0.0004329832,0.007923896,0.0002202642,0.00004086238,0.0004104686,0.0003528215,0.0004458206,0.9213507,0.001226925,0.0001050403,0.06368612],"study_design_scores_gemma":[0.0003992001,0.007018887,0.3917015,0.00009630976,0.0002235661,0.004495293,0.0006868533,0.01077438,0.5726303,0.00941682,0.002481212,0.00007563268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856427,0.0004123468,0.01155986,0.0001177772,0.00009634862,0.00005880166,0.0001156419,0.00005517145,0.001941256],"genre_scores_gemma":[0.9955812,0.0001682099,0.003281339,0.00007405412,0.00002755616,0.0000296967,0.00004928991,0.00003605645,0.0007526699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002539088,"threshold_uncertainty_score":0.008494139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301549801451465,"score_gpt":0.3698210076477139,"score_spread":0.2396660275025674,"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."}}