{"id":"W1994680312","doi":"10.1016/j.visres.2014.12.024","title":"The role of visual processing in motor learning and control: Insights from electroencephalography","year":2015,"lang":"en","type":"review","venue":"Vision Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; N100; Psychology; Motor control; Motor learning; Cognition; Computer science; Neuroscience; Cognitive psychology; Artificial intelligence; Event-related potential","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":[0.001385498,0.0002096461,0.0007095765,0.0006232294,0.0003050737,0.0003036568,0.0006392205,0.0001709115,0.000004338709],"category_scores_gemma":[0.0008501378,0.0001190431,0.0001044854,0.001095518,0.0004479625,0.0001355866,0.000301948,0.00136368,0.00001116284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004197117,"about_ca_system_score_gemma":0.0002772444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006201213,"about_ca_topic_score_gemma":0.00001525221,"domain_scores_codex":[0.9952805,0.002250322,0.0004731975,0.000598681,0.0009396748,0.0004576478],"domain_scores_gemma":[0.9967871,0.002542352,0.0001961278,0.0001877577,0.0001752538,0.0001114224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003742117,0.00005240193,0.00003161885,0.0004052883,0.000004720633,0.000009517008,0.0001602324,3.90417e-7,0.00654856,0.00006149319,0.00002472924,0.9926636],"study_design_scores_gemma":[0.0002678013,0.0007186926,0.00002439723,0.004180753,0.00001263854,0.000005624995,0.0001340676,0.002544512,0.001006536,0.001353709,0.9896029,0.0001484027],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007206338,0.9916019,0.00001189124,0.00002218789,0.00004502658,0.0006032093,0.000006282343,0.00002248662,0.0004806099],"genre_scores_gemma":[0.107223,0.8925245,0.00001683787,0.000006813272,0.00007155858,0.0000501037,0.000002568304,0.00002471217,0.00007990002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925152,"threshold_uncertainty_score":0.5924585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491386381007642,"score_gpt":0.4385736160754629,"score_spread":0.3736597522653864,"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."}}