{"id":"W2082947327","doi":"10.1007/s00221-009-2106-9","title":"Contribution of visual and proprioceptive information to the precision of reaching movements","year":2009,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Vlaamse regering","keywords":"Proprioception; Psychology; Kinematics; Saccade; Somatosensory system; Cognitive psychology; Communication; Eye movement; Computer vision; Physical medicine and rehabilitation; Neuroscience; Artificial intelligence; Computer science; Physics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003214407,0.00004897315,0.00007277722,0.0001447413,0.0001797182,0.00003596158,0.0001134211,0.00002497026,0.00003099697],"category_scores_gemma":[0.0014001,0.00003493885,0.00002077638,0.0002318043,0.00007495572,0.0004158464,0.00007579909,0.0001492319,0.00001909826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006776937,"about_ca_system_score_gemma":0.00001872162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000542709,"about_ca_topic_score_gemma":0.000001644645,"domain_scores_codex":[0.9988295,0.0002202237,0.000194338,0.0001117607,0.0004975459,0.0001465912],"domain_scores_gemma":[0.9992875,0.000387858,0.00005797622,0.0001124881,0.0001103075,0.00004387493],"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":[0.0001958515,0.0001268198,0.00003092312,0.000001527312,0.000001486181,3.515618e-7,0.005973768,0.000008446274,0.9835936,0.001441234,0.0004759219,0.008150117],"study_design_scores_gemma":[0.0002381798,0.0009164398,0.002679769,0.00002310576,3.686148e-7,0.000002752591,0.003200953,0.0004597783,0.9905748,0.0000982725,0.001774244,0.00003130147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959682,0.000009564943,0.0001640507,0.001048454,0.00004380091,0.0005455281,0.000009608008,0.000007342245,0.002203469],"genre_scores_gemma":[0.9994678,0.000004034795,0.00003420806,0.0003350583,0.00001630234,0.00001543545,0.000002938138,0.000002064861,0.0001220834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008118815,"threshold_uncertainty_score":0.1676151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06602957198590129,"score_gpt":0.435598084359914,"score_spread":0.3695685123740127,"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."}}