{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003361928,0.0002364995,0.0002202704,0.0001389037,0.0005673509,0.0002249189,0.0004397585,0.0002003955,0.00001410668],"category_scores_gemma":[0.008386999,0.0002091158,0.0001365792,0.0005602841,0.0001544482,0.0004667813,0.00001784369,0.0008819058,0.00001020074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003365517,"about_ca_system_score_gemma":0.0001256425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001712077,"about_ca_topic_score_gemma":0.000001958831,"domain_scores_codex":[0.9974048,0.0002961603,0.0002526773,0.0008867131,0.0005190797,0.0006406399],"domain_scores_gemma":[0.9986502,0.0006389414,0.0001746231,0.0002614291,0.00008972121,0.0001850739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007053398,0.00004726538,0.00009086427,0.00001150199,4.652836e-7,0.00002023876,0.0000234833,0.001406364,0.9821817,0.01452077,0.00004966186,0.001577155],"study_design_scores_gemma":[0.009899415,0.006057475,0.02532599,0.00005520282,0.00008085401,0.0005099936,0.0001196522,0.4159472,0.3427097,0.008358478,0.1889583,0.001977754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243476,0.000839426,0.04238892,0.002041082,0.00841899,0.004181833,0.0001277383,0.001016037,0.01663833],"genre_scores_gemma":[0.9911911,0.00001386485,0.00007828461,0.006915425,0.0001346512,0.00008381996,9.018907e-7,0.00002790987,0.001554036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.639472,"threshold_uncertainty_score":0.9999658,"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."}}