{"id":"W2006769613","doi":"10.1167/11.11.945","title":"Vision at high limb velocities: The importance of visual feedback for online control at high limb velocities early in a movement","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Movement (music); Artificial intelligence; Contrast (vision); Computer vision; Trajectory; Visual control; Computer science; Physical medicine and rehabilitation; Physics; Medicine; Acoustics","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":[0.000867149,0.0005788647,0.0005334838,0.0003818863,0.0002385785,0.001035099,0.0004544844,0.0006369869,0.002523874],"category_scores_gemma":[0.00866623,0.0002570145,0.0002891744,0.000189298,0.0004272621,0.001408585,0.0007364159,0.0006725922,0.0002904653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163753,"about_ca_system_score_gemma":0.0009685687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001806346,"about_ca_topic_score_gemma":0.001412305,"domain_scores_codex":[0.999278,0.00009554937,0.00004334259,0.0001948153,0.0002644046,0.0001238645],"domain_scores_gemma":[0.9976635,0.001175542,0.0004408238,0.0002236072,0.0002745381,0.0002220108],"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":[0.003281854,0.0005182234,0.006564735,0.0005466623,0.00004938863,0.0001327864,0.0003154123,0.003918263,0.7876515,0.0008641847,0.0003457077,0.1958114],"study_design_scores_gemma":[0.0004902261,0.01226318,0.6209146,0.000357313,0.0003133225,0.0008934789,0.0003320321,0.04892083,0.3027883,0.007906105,0.004635097,0.0001854426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290858,0.001470163,0.06331631,0.0001533291,0.0001145466,0.0001399242,0.0001313133,0.0004067258,0.005181915],"genre_scores_gemma":[0.9844159,0.0002471675,0.01403211,0.00006881774,0.00002583477,0.00007554914,0.00008136404,0.00006983316,0.000983385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002523874,"threshold_uncertainty_score":0.008443177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281739636519877,"score_gpt":0.2795556060214495,"score_spread":0.2513816423694618,"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."}}