{"id":"W2063365101","doi":"10.1152/jn.00886.2009","title":"Generalization of Dynamics Learning Across Changes in Movement Amplitude","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Generalization; Movement (music); Dynamics (music); Psychology; Artificial intelligence; Motor learning; Amplitude; Communication; Cognitive psychology; Mathematics; Computer science; Neuroscience; Mathematical analysis; Physics; Acoustics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006281147,0.0004822789,0.000444745,0.0003707485,0.0001652546,0.0003272172,0.000414922,0.0003904002,0.002058311],"category_scores_gemma":[0.004027297,0.0003047391,0.0005189315,0.0001415275,0.0004791085,0.0006341799,0.00117165,0.0008981306,0.0002125004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398858,"about_ca_system_score_gemma":0.0002503915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030682,"about_ca_topic_score_gemma":0.0008265824,"domain_scores_codex":[0.9994478,0.00005385212,0.00005258869,0.0002126398,0.0001498575,0.00008328872],"domain_scores_gemma":[0.9976866,0.0008226472,0.0003070598,0.0008007165,0.0001756179,0.0002072199],"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":[0.0004522844,0.0003678514,0.006395211,0.00009344798,0.00008230122,0.0000853783,0.0001907339,0.007980508,0.9300897,0.0001698303,0.0001083102,0.05398457],"study_design_scores_gemma":[0.0001089116,0.008950006,0.5293761,0.00004581673,0.0001373846,0.0007209101,0.0002094763,0.07311554,0.3831946,0.00240885,0.001616327,0.0001161152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884495,0.00007543198,0.009650861,0.00003689942,0.00001260561,0.0000491315,0.00007729234,0.0002035772,0.001444777],"genre_scores_gemma":[0.9966198,0.00004906626,0.002357056,0.0000222843,0.000005304465,0.00003473961,0.0001210357,0.00003060881,0.0007600466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002058311,"threshold_uncertainty_score":0.006885707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273005711106342,"score_gpt":0.2818341380556005,"score_spread":0.2591040809445371,"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."}}