{"id":"W4281382487","doi":"10.1523/eneuro.0459-21.2022","title":"Learning from the Physical Consequences of Our Actions Improves Motor Memory","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Motor learning; Cognitive psychology; Psychology; Motor skill; Prism adaptation; Memory consolidation; Physical medicine and rehabilitation; Adaptation (eye); Developmental psychology; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000136988,0.0002846837,0.0002760773,0.0000921153,0.00009131376,0.0001836907,0.0001818585,0.0002495152,0.00242533],"category_scores_gemma":[0.0004521335,0.0000675208,0.000123565,0.00003393946,0.0002678679,0.00021967,0.0002853685,0.0005201688,0.0001877912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007447189,"about_ca_system_score_gemma":0.0001377455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003154682,"about_ca_topic_score_gemma":0.0007311162,"domain_scores_codex":[0.9999117,0.00001024781,0.000007670884,0.00003072374,0.00002006813,0.00001967249],"domain_scores_gemma":[0.9998513,0.00002046386,0.0000369642,0.00002811385,0.0000164691,0.00004660065],"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":[0.001123522,0.001497911,0.003630855,0.00009774913,0.00003549153,0.00009940831,0.0002101429,0.0002381463,0.9467588,0.00009015065,0.0001402175,0.04607755],"study_design_scores_gemma":[0.0002971524,0.03605182,0.2735465,0.00005342613,0.000158559,0.0008422357,0.0007402527,0.003941699,0.6771258,0.002549337,0.004647226,0.00004587323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983558,0.00006213538,0.001008694,0.00004712382,0.00001072366,0.00001101522,0.00001124429,0.00001666491,0.0004764805],"genre_scores_gemma":[0.9973521,0.00007466708,0.001309486,0.00002791811,0.000005652528,0.00001945455,0.00003022914,0.000004995446,0.001175453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00242533,"threshold_uncertainty_score":0.008113563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674113521028157,"score_gpt":0.2705654799216199,"score_spread":0.2238243447113384,"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."}}