{"id":"W2773197011","doi":"10.1007/s00221-017-5141-y","title":"Adaptation to proprioceptive targets following visuomotor adaptation","year":2017,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proprioception; Hand position; Cursor (databases); Visual feedback; Adaptation (eye); Physical medicine and rehabilitation; Computer science; Psychology; Communication; Artificial intelligence; Computer vision; Neuroscience; Medicine","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":[0.0001983296,0.0001686471,0.0002570939,0.0001881611,0.0001664525,0.000347523,0.0002347127,0.0003215481,0.003973209],"category_scores_gemma":[0.002267209,0.0001662232,0.0001982208,0.0002215678,0.0002978469,0.0003134156,0.0004435189,0.0005163734,0.0004053577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002126833,"about_ca_system_score_gemma":0.0002020452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464793,"about_ca_topic_score_gemma":0.001143267,"domain_scores_codex":[0.9998871,0.00001602814,0.00000791946,0.00002531715,0.00002590979,0.00003784351],"domain_scores_gemma":[0.9995916,0.0001822932,0.000062787,0.00005773925,0.00005823263,0.00004729343],"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":[0.002600646,0.0002188213,0.003279657,0.00008345513,0.00004417852,0.0002320926,0.0001426212,0.002477052,0.9597681,0.0009031443,0.0001926834,0.0300576],"study_design_scores_gemma":[0.0001611381,0.002114752,0.5273404,0.00005668109,0.0001033479,0.001078962,0.0003696905,0.04730552,0.4137849,0.005473069,0.002149099,0.00006249327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895622,0.0002986168,0.005978184,0.00005840482,0.00006848961,0.00002638428,0.00005062717,0.00007727161,0.003879766],"genre_scores_gemma":[0.9982359,0.00008049142,0.0003730103,0.00003206497,0.000007173861,0.00001139058,0.00003152847,0.00002048089,0.001207858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003973209,"threshold_uncertainty_score":0.01329172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693743867660221,"score_gpt":0.4319808446852392,"score_spread":0.2626064579192171,"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."}}