{"id":"W1996283114","doi":"10.1007/s00221-009-1812-7","title":"The hand’s automatic pilot can update visual information while the eye is in motion","year":2009,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saccade; Saccadic masking; Fixation (population genetics); Eye movement; Computer vision; Computer science; Motion (physics); Perception; Artificial intelligence; Saccadic eye movement; Psychology; Saccadic suppression of image displacement; Communication; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183407,0.00009438857,0.00007542618,0.0001248201,0.0008905662,0.0004874812,0.0003474932,0.00002507636,0.000107263],"category_scores_gemma":[0.0004592938,0.00005716046,0.00002986921,0.0004432402,0.0002007086,0.0004969441,0.00006952445,0.000271951,0.0002028813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511537,"about_ca_system_score_gemma":0.00005769921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508944,"about_ca_topic_score_gemma":0.0000374605,"domain_scores_codex":[0.9978399,0.0005496699,0.0002493088,0.000177052,0.0007892689,0.0003947927],"domain_scores_gemma":[0.9992908,0.000340122,0.00005300055,0.0002195574,0.00003706045,0.00005951638],"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":[0.0001404361,0.00022192,0.00003848274,0.000004738349,0.000002196794,0.000005219837,0.006360434,0.00003618629,0.9196128,0.008319841,0.003277113,0.06198069],"study_design_scores_gemma":[0.002113065,0.001304216,0.02851355,0.00003893426,0.000001299038,0.000008031378,0.004782348,0.158324,0.781687,0.001927117,0.02106461,0.0002358402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962476,0.0001131831,0.0001006728,0.03329187,0.0001280086,0.0009565266,0.000007031103,0.0000454714,0.002881274],"genre_scores_gemma":[0.996345,0.00001342222,0.000009703756,0.002978865,0.0000526644,0.0001080974,0.000006424062,0.000005648659,0.0004802109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582879,"threshold_uncertainty_score":0.6849605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06858559892796971,"score_gpt":0.3858070684614239,"score_spread":0.3172214695334541,"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."}}