{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364584,0.0007920185,0.000786397,0.001446584,0.0003438965,0.001026077,0.001337648,0.001651588,0.003117075],"category_scores_gemma":[0.0007480619,0.0002573591,0.0003816048,0.001194165,0.001599687,0.001644268,0.0005268385,0.0009832437,0.002269947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139731,"about_ca_system_score_gemma":0.000733054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651767,"about_ca_topic_score_gemma":0.001532864,"domain_scores_codex":[0.9998286,0.00002713183,0.00002057352,0.00004995827,0.00005775553,0.00001590994],"domain_scores_gemma":[0.9998017,0.00008203768,0.00002526583,0.00001486373,0.00006357525,0.0000126326],"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":[0.00006214817,0.00003741548,0.0003525442,0.005189061,0.00005838943,0.000406775,0.0001359796,0.002596065,0.003761894,0.06022422,0.01466402,0.9125116],"study_design_scores_gemma":[0.00002793228,0.00009470001,0.003893258,0.001522554,0.00007077216,0.00316347,0.000149911,0.00112634,0.002421546,0.06898309,0.9185016,0.00004485932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008208579,0.9858125,0.003922804,0.0005966879,0.0003110417,0.00001045439,0.00002273316,0.00004443167,0.008458369],"genre_scores_gemma":[0.01442371,0.9776023,0.002454898,0.0002882439,0.0003957001,0.00003178716,0.00005104934,0.00001087903,0.004741304],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003117075,"threshold_uncertainty_score":0.01042771,"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."}}