{"id":"W2047905803","doi":"10.1523/jneurosci.2374-08.2009","title":"Evidence for a Proprioception-Based Rapid On-Line Error Correction Mechanism for Hand Orientation during Reaching Movements in Blind Subjects","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Institut Universitaire en Santé Mentale de Québec; Canadian Institutes of Health Research; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Proprioception; Orientation (vector space); Task (project management); Perception; Psychology; Computer vision; Computer science; Artificial intelligence; Matching (statistics); Communication; Cognitive psychology; Physical medicine and rehabilitation; Mathematics; Statistics; Medicine; Geometry","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":[0.0003224122,0.0003708595,0.0004197249,0.000431763,0.0001615768,0.0002064303,0.0002035896,0.0003898333,0.001878118],"category_scores_gemma":[0.002314646,0.0002217982,0.0001434158,0.0001220818,0.0006608013,0.0002752374,0.0002817991,0.000253821,0.0002544505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023143,"about_ca_system_score_gemma":0.0001995647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112834,"about_ca_topic_score_gemma":0.0006152519,"domain_scores_codex":[0.99984,0.00002409028,0.00003349347,0.00004660883,0.00003061683,0.00002516652],"domain_scores_gemma":[0.9985527,0.0004589939,0.0004498415,0.0002804168,0.0001306683,0.0001272444],"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":[0.004446503,0.0002924394,0.1417197,0.0003520339,0.00007039389,0.002631336,0.001646788,0.0004671257,0.8115637,0.0002254853,0.0002306169,0.03635376],"study_design_scores_gemma":[0.00009192153,0.002438816,0.9437669,0.00002065423,0.0000521859,0.004271392,0.0002500605,0.00137534,0.04705643,0.0002534801,0.0003857553,0.00003699934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984326,0.0000904366,0.001174791,0.000009078401,0.000003346587,0.000009852538,0.00005485832,0.00004019209,0.0001848369],"genre_scores_gemma":[0.9986519,0.0000640604,0.0008381724,0.00001544557,0.000006404101,0.00001411621,0.00007680514,0.00001166028,0.0003214244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001878118,"threshold_uncertainty_score":0.006282926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393920744667047,"score_gpt":0.3501201007115849,"score_spread":0.2107280262448802,"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."}}