{"id":"W2323610942","doi":"10.1152/jn.00951.2015","title":"The sequential encoding of competing action goals involves dynamic restructuring of motor plans in working memory","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Queen's University","funders":"Canadian Institutes of Health Research; Royal Society; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Action (physics); Task (project management); Computer science; Encoding (memory); Restructuring; Motor planning; Cognitive psychology; Psychology; Neuroscience; Artificial intelligence; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388306,0.0002970477,0.0002275346,0.0003183942,0.0002641547,0.001342589,0.0008214571,0.0003945491,0.001821689],"category_scores_gemma":[0.003292599,0.0003627308,0.0003813666,0.0003366622,0.0008336771,0.002013991,0.0006806387,0.0008095723,0.0003290877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477632,"about_ca_system_score_gemma":0.000513994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144081,"about_ca_topic_score_gemma":0.001941436,"domain_scores_codex":[0.9997712,0.0000423618,0.00001895424,0.0000932949,0.00005527472,0.00001892316],"domain_scores_gemma":[0.9986105,0.0006030146,0.0002847737,0.0002907676,0.0001170718,0.00009389543],"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":[0.001043278,0.000406806,0.02201431,0.0004244758,0.0003091124,0.0009502223,0.003911881,0.02976757,0.2703709,0.05609605,0.002534019,0.6121714],"study_design_scores_gemma":[0.0002134095,0.001142962,0.1274808,0.0001680853,0.0003083821,0.001389293,0.001269865,0.303938,0.1188745,0.4326384,0.01229636,0.0002799437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6615253,0.000683915,0.3233504,0.0005928496,0.0001008762,0.00009087301,0.0003061194,0.0008623588,0.01248722],"genre_scores_gemma":[0.9460062,0.0002673617,0.05220594,0.00005416517,0.00001649896,0.00006136413,0.0001852568,0.00005768542,0.001145584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001821689,"threshold_uncertainty_score":0.006094158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870949810946658,"score_gpt":0.2958764054463492,"score_spread":0.2471669073368826,"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."}}