{"id":"W2017767281","doi":"10.1038/nn1026","title":"A motor learning strategy reflects neural circuitry for limb control","year":2003,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Neuroscience; Motor learning; Sensory system; Psychology; Ambiguity; Motor control; Generalization; Elbow; Association (psychology); Computer science; Physical medicine and rehabilitation; Medicine; Mathematics","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":[0.0003547443,0.0003404708,0.0003338162,0.0002201401,0.0002861608,0.001365257,0.0007087552,0.0008289875,0.003106525],"category_scores_gemma":[0.001714292,0.0003237073,0.0003429121,0.0001956937,0.0006376444,0.001489228,0.0005336161,0.001021239,0.0008097532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322473,"about_ca_system_score_gemma":0.0005220262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007936599,"about_ca_topic_score_gemma":0.001230235,"domain_scores_codex":[0.9997715,0.00001786872,0.00001572767,0.00009953846,0.00005371229,0.00004154519],"domain_scores_gemma":[0.9994574,0.0001214378,0.00009315041,0.0001198592,0.0001183416,0.00008985517],"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":[0.000301848,0.0002122709,0.009919218,0.000128061,0.0001774348,0.0001984613,0.0002659883,0.01058482,0.7927849,0.05632589,0.001637849,0.1274633],"study_design_scores_gemma":[0.000155476,0.001199037,0.2278585,0.00009826841,0.000290476,0.001379919,0.0003936701,0.3327964,0.2846898,0.1445081,0.006486293,0.0001441854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7242417,0.000392473,0.239466,0.001497043,0.0003449543,0.0001269068,0.0003623736,0.001010229,0.03255836],"genre_scores_gemma":[0.9768091,0.0001186393,0.01869312,0.0002099117,0.00003402555,0.00003429321,0.0001272821,0.0001031843,0.00387047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003106525,"threshold_uncertainty_score":0.01039237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343018910330013,"score_gpt":0.2965734051595447,"score_spread":0.2622715141265434,"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."}}