{"id":"W2953761728","doi":"","title":"Multiple errors, multiple systems: The Hierarchical Error Processing Hypothesis","year":2012,"lang":"en","type":"article","venue":"","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Posterior parietal cortex; Motor system; Error-related negativity; N100; Component (thermodynamics); Motor control; Task (project management); Error detection and correction; Event-related potential; Artificial intelligence; Electroencephalography; Psychology; Cognitive psychology; Neuroscience; Cognition; Anterior cingulate cortex","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":[0.001659002,0.0008451387,0.0005680058,0.0008511876,0.000410441,0.001463744,0.001298552,0.001533706,0.00497406],"category_scores_gemma":[0.0057367,0.0005908317,0.0008808223,0.0003815051,0.002643136,0.003842369,0.001762583,0.001350566,0.0007744565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007826153,"about_ca_system_score_gemma":0.001023159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799564,"about_ca_topic_score_gemma":0.001030543,"domain_scores_codex":[0.9989232,0.0001095348,0.00006703427,0.000328657,0.0003872942,0.000184276],"domain_scores_gemma":[0.9958905,0.002152758,0.0008026888,0.0004852031,0.000369012,0.0002998814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003617609,0.002416616,0.1269505,0.001666516,0.0009953821,0.006376354,0.006029816,0.03127553,0.2879175,0.2139082,0.00495368,0.3138923],"study_design_scores_gemma":[0.0007635257,0.003315673,0.3330063,0.0002783939,0.0004405795,0.006340336,0.00111242,0.1928652,0.05666789,0.3990094,0.005887602,0.0003127868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67015,0.001649029,0.2882832,0.005204167,0.0003199751,0.0006513019,0.0004188197,0.000932531,0.03239094],"genre_scores_gemma":[0.9666362,0.0003745961,0.02941164,0.0007329948,0.0001385871,0.0001723057,0.0001835149,0.0000523878,0.002297678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00497406,"threshold_uncertainty_score":0.01663989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575431167099088,"score_gpt":0.2672075804910544,"score_spread":0.1914532688200635,"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."}}