{"id":"W2164125382","doi":"10.1152/jn.00736.2006","title":"Neural Averaging in Motor Learning","year":2006,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Deafness and Other Communication Disorders","keywords":"Motor learning; Motor skill; Weighting; Neural substrate; Psychology; Computer science; Artificial intelligence; Cognitive psychology; Neuroscience; Cognition; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003715045,0.00007261352,0.0001765343,0.0001572866,0.00004831648,0.0000157522,0.000131825,0.0000252267,0.00001659617],"category_scores_gemma":[0.0002818262,0.00005948775,0.00007126883,0.0001243682,0.00003296612,0.0001544758,0.00002013389,0.0003390021,0.00001078651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001532007,"about_ca_system_score_gemma":0.00001722485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001592005,"about_ca_topic_score_gemma":7.290198e-7,"domain_scores_codex":[0.9990392,0.0002451456,0.000314896,0.0001195545,0.0001169042,0.000164299],"domain_scores_gemma":[0.9994484,0.000203443,0.0002398036,0.00005117538,0.00002919261,0.00002796089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008941843,0.00003262767,0.0001658473,0.000002336196,4.531676e-7,0.0002600099,0.00002355965,0.04091327,0.9570562,0.0001971317,0.000003289636,0.001255898],"study_design_scores_gemma":[0.002290085,0.001444482,0.8490999,0.00002525032,0.00001008052,0.0005550289,0.0000296396,0.127449,0.01151705,0.00287076,0.004491211,0.0002175171],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988565,0.000012592,0.0001163784,0.0002986791,0.0003872561,0.00003777206,3.049937e-7,0.000009268801,0.000281211],"genre_scores_gemma":[0.99898,0.00001450047,0.00004049153,0.0004367433,0.0003253184,7.265645e-7,1.405758e-7,0.000008673191,0.0001934118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455391,"threshold_uncertainty_score":0.242584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959148176123659,"score_gpt":0.2410864463638105,"score_spread":0.2214949646025739,"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."}}