{"id":"W1574964551","doi":"10.3389/fnhum.2015.00335","title":"Using brain potentials to understand prism adaptation: the error-related negativity and the P300","year":2015,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Dalhousie University; Nova Scotia Health Research Foundation","keywords":"Prism adaptation; Psychology; Adaptation (eye); Negativity effect; Audiology; Event-related potential; Task (project management); Electroencephalography; Brain–computer interface; Neglect; Cognition; Perception; Cognitive psychology; Neuroscience; Physical medicine and rehabilitation; Medicine","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":[0.0008969881,0.0001595884,0.0001924385,0.00009177469,0.000730841,0.0002454675,0.0004747508,0.0000520238,0.000005782243],"category_scores_gemma":[0.001831676,0.0001026437,0.00003850833,0.001079525,0.001129697,0.0003597692,0.0001563089,0.0002541634,0.000001181417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009897831,"about_ca_system_score_gemma":0.00009200275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001720952,"about_ca_topic_score_gemma":0.00004688554,"domain_scores_codex":[0.9978265,0.0005143173,0.0002808161,0.0005235555,0.0005203764,0.0003344445],"domain_scores_gemma":[0.9991748,0.0001985046,0.0001434785,0.000326146,0.00002697799,0.0001300979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009766036,0.0002733953,0.005420354,0.0000318974,0.000009844252,0.00009640974,0.06075458,0.1396756,0.728201,0.02389918,0.02808345,0.01257771],"study_design_scores_gemma":[0.00422409,0.0003563588,0.006920148,0.00005926115,0.00003763593,0.00008850959,0.0053474,0.9068212,0.01589887,0.05611089,0.003560202,0.0005754538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6733246,0.00008170115,0.3150277,0.006520711,0.002730715,0.000902043,0.000001825075,0.00006647403,0.001344204],"genre_scores_gemma":[0.995558,0.000007890774,0.0006447863,0.003001531,0.00004672812,0.00001148514,2.211284e-7,0.0000140357,0.0007152918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7671456,"threshold_uncertainty_score":0.5621112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1308376812102604,"score_gpt":0.3141501983462085,"score_spread":0.1833125171359481,"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."}}