{"id":"W2071434332","doi":"10.1038/509038a","title":"Feedback throttled down for smooth moves","year":2014,"lang":"en","type":"letter","venue":"Nature","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Forelimb; Sensory system; Neuroscience; Spinal cord; GABAergic; Inhibitory postsynaptic potential; Neurotransmitter; Biology; Computer science; Central nervous system","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":[0.0008264706,0.0004869488,0.0004955312,0.0002996863,0.001428491,0.001331579,0.0009956368,0.01412421,0.01333766],"category_scores_gemma":[0.008942146,0.0002950809,0.0005354821,0.0001414509,0.001639317,0.001173995,0.0007429619,0.01041862,0.005837246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446647,"about_ca_system_score_gemma":0.001012121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354139,"about_ca_topic_score_gemma":0.007012081,"domain_scores_codex":[0.9995732,0.00007472874,0.00003041109,0.00007879691,0.0001793014,0.00006355066],"domain_scores_gemma":[0.9984021,0.001038967,0.00008165584,0.0001095355,0.0002335699,0.000134248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003906306,0.00006619262,0.0003500251,0.0001071866,0.00001850926,0.002063334,0.00007999111,0.0004622467,0.001479053,0.01815399,0.911823,0.06500579],"study_design_scores_gemma":[0.0002365568,0.0001603389,0.001420969,0.000202628,0.00003093796,0.003032963,0.0001154762,0.00591564,0.002702096,0.07862757,0.907492,0.00006290318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003561093,0.005874815,0.005544329,0.8967115,0.05276771,0.00005158399,0.0002414029,0.0003852853,0.03486231],"genre_scores_gemma":[0.1150865,0.007675778,0.007425244,0.6561473,0.05014373,0.0002475851,0.0001598162,0.0002702819,0.1628439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01412421,"threshold_uncertainty_score":0.04461896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036151403389121,"score_gpt":0.2611543894248764,"score_spread":0.2407928753909852,"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."}}