{"id":"W2207284635","doi":"10.1016/j.conb.2015.12.003","title":"Computations underlying sensorimotor learning","year":2015,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Wellcome Trust","keywords":"Neuroscience; Perspective (graphical); Computational model; Focus (optics); Cognitive science; Adaptation (eye); Psychology; Motor learning; Computer science; Sensorimotor cortex; Cognitive psychology; Artificial intelligence","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":[0.0003519481,0.0007815776,0.0009245693,0.0007418995,0.0001892502,0.001151716,0.0007794262,0.001057005,0.002344716],"category_scores_gemma":[0.0006861535,0.0002420604,0.0002859645,0.0009001035,0.001697389,0.001665314,0.0009379918,0.001757821,0.001120043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203513,"about_ca_system_score_gemma":0.000903103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007397882,"about_ca_topic_score_gemma":0.00118395,"domain_scores_codex":[0.9998912,0.00001808109,0.00001288763,0.00003501312,0.00003135863,0.00001154628],"domain_scores_gemma":[0.9998657,0.00006018226,0.00002144345,0.0000103807,0.00002926265,0.00001302466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006388989,0.00003002042,0.0001912495,0.006120762,0.00007757782,0.000164372,0.00008212259,0.002614917,0.004568059,0.08190742,0.02379359,0.8803859],"study_design_scores_gemma":[0.00002339527,0.00004643431,0.0015138,0.002818327,0.0001022077,0.000919784,0.00008049179,0.001989456,0.002256072,0.1744999,0.8156887,0.00006148456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001068704,0.979179,0.008479767,0.001396471,0.001047556,0.00001028357,0.00008499168,0.00006784851,0.008665304],"genre_scores_gemma":[0.01054683,0.9831195,0.002099129,0.0005427781,0.001032787,0.00001736878,0.0001264379,0.00001387823,0.002501267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002344716,"threshold_uncertainty_score":0.007843912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.411117703503828,"score_gpt":0.4554593878466273,"score_spread":0.04434168434279928,"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."}}