{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498078,0.00009437696,0.0002657962,0.000163152,0.00006807978,0.00001230368,0.000408637,0.00004189164,0.000004053791],"category_scores_gemma":[0.0004251073,0.00005285411,0.00009439827,0.000112159,0.0002059662,0.0001365227,0.0001067526,0.0002295889,6.510641e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064319,"about_ca_system_score_gemma":0.00003374736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005458692,"about_ca_topic_score_gemma":0.000007164958,"domain_scores_codex":[0.998496,0.0004052153,0.0006079019,0.000146055,0.0001607978,0.0001840357],"domain_scores_gemma":[0.9975171,0.001476627,0.0008041456,0.0001316724,0.00004286467,0.00002758396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002060555,0.00001581457,0.0002593188,0.00001892698,0.000005775847,0.00002809654,0.0001926831,0.001036885,0.9931714,0.00006039885,0.000001624902,0.005003036],"study_design_scores_gemma":[0.0004864655,0.0004709863,0.03239122,0.0003792354,0.000006991252,0.0001539164,0.000156951,0.001205459,0.9638411,0.000772258,0.0000611479,0.00007422391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998511,0.00002174511,0.00009968188,0.0002060246,0.001052513,0.0000506472,0.000002536573,0.000005460833,0.00005040266],"genre_scores_gemma":[0.9994791,0.0001972845,0.0001107982,0.00004724529,0.0001392379,4.543513e-7,4.299372e-8,0.000009187234,0.00001660913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0321319,"threshold_uncertainty_score":0.2155328,"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."}}