{"id":"W2025748259","doi":"10.1016/j.bandc.2004.06.005","title":"The effects of uncertainty in error monitoring on associated ERPs","year":2004,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Software Engineering Research","field":"Computer Science","cited_by":205,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; University of Waterloo","funders":"","keywords":"Psychology; Cognitive psychology; Audiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002623896,0.00004317036,0.00004929026,0.00005137456,0.00004863839,0.00003176247,0.0001155098,0.0000287212,1.538283e-7],"category_scores_gemma":[0.002074599,0.00003389782,0.00001272444,0.0002097466,0.00002024684,0.00006510735,0.00003436153,0.00009145626,0.000002373744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004190429,"about_ca_system_score_gemma":0.00002109885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002895885,"about_ca_topic_score_gemma":0.000008715444,"domain_scores_codex":[0.999518,0.00004014885,0.00006639905,0.0001007968,0.0001533291,0.0001213103],"domain_scores_gemma":[0.9980128,0.001823686,0.00001914596,0.00008911371,0.00003190648,0.00002331406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001588558,0.0009259252,0.03277604,0.0005072411,0.00013081,0.0001968954,0.006698352,0.01130911,0.05287657,0.02666428,0.0007014331,0.8670545],"study_design_scores_gemma":[0.002745303,0.0005604008,0.9435865,0.0009900527,0.000004364785,0.00000410217,0.00006272989,0.004446778,0.02811648,0.01919518,0.00008267626,0.0002054211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959827,0.00009433064,0.003014794,0.0004979802,0.0001598184,0.000123355,4.689477e-7,0.00005275994,0.00007379736],"genre_scores_gemma":[0.9997721,0.00001927493,0.0001192368,0.00002995915,0.00001593254,0.0000176737,7.684097e-7,0.000002991322,0.0000220939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9108105,"threshold_uncertainty_score":0.2483638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261572306818822,"score_gpt":0.2661108959532865,"score_spread":0.2534951728850983,"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."}}