{"id":"W2099650267","doi":"10.1152/jn.00117.2004","title":"Spatial Transformations for Eye–Hand Coordination","year":2004,"lang":"en","type":"review","venue":"Journal of Neurophysiology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":393,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Canadian Institutes of Health Research","funders":"","keywords":"Gaze; Computer science; Eye movement; Artificial intelligence; Computer vision; Posterior parietal cortex; Orientation (vector space); Motor system; Focus (optics); Visual cortex; Eye–hand coordination; Communication; Psychology; Neuroscience; Mathematics","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":[0.0000705248,0.0002348753,0.0009431962,0.000310628,0.0002107805,0.00006394633,0.0003402295,0.000202561,0.00005700333],"category_scores_gemma":[0.0003665774,0.0001738852,0.0005558446,0.0002143284,0.00009607042,0.0001880285,0.00001728362,0.0004288607,0.00004645651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000633109,"about_ca_system_score_gemma":0.0003688057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.921561e-7,"about_ca_topic_score_gemma":1.689567e-7,"domain_scores_codex":[0.9983672,0.0002425272,0.0008093498,0.0002097289,0.0001737781,0.0001973445],"domain_scores_gemma":[0.9985309,0.00023866,0.00089551,0.0001116784,0.0001408491,0.00008244062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005936277,0.0001429872,2.819253e-9,0.006650246,0.00001535964,0.00002045245,0.0001188938,0.00008952479,0.05517283,0.0005624043,0.0001131545,0.9370548],"study_design_scores_gemma":[0.0006030391,0.001467749,0.000001757338,0.002143598,0.0002641516,0.0003747205,0.000003919477,0.00009498241,0.0006162114,0.001933049,0.9922845,0.0002123167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008298861,0.8462686,0.1327078,0.0009122828,0.01540299,0.002912147,0.0004577014,0.0001204814,0.0003880794],"genre_scores_gemma":[0.002515873,0.9959658,0.0002143899,0.0002881722,0.0008024164,0.0000189959,0.00001428116,0.00004371356,0.0001363708],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9921713,"threshold_uncertainty_score":0.7090834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077344533024383,"score_gpt":0.3955364146155536,"score_spread":0.2878019613131152,"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."}}