{"id":"W562542722","doi":"10.1167/15.8.6","title":"Acquisition, representation, and transfer of models of visuo-motor error","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Peking University; National Eye Institute; York University","keywords":"Throwing; Computer science; Gaussian; Phase (matter); Point (geometry); Transfer (computing); Psychology; Mathematics; Physics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000332296,0.00005319483,0.0001764382,0.0001210149,0.00002089577,0.00001100762,0.00008179904,0.00003179256,0.00001368491],"category_scores_gemma":[0.0001881835,0.00004019563,0.00006366961,0.0001134444,0.00004687202,0.0005088151,0.00001007067,0.00005729516,7.366342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001048947,"about_ca_system_score_gemma":0.00004249617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007927933,"about_ca_topic_score_gemma":6.273656e-7,"domain_scores_codex":[0.9989222,0.0000960101,0.0004377177,0.00008629207,0.0003978469,0.00005994255],"domain_scores_gemma":[0.9991956,0.00009097887,0.0002349958,0.0000782949,0.000319655,0.00008046373],"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":[0.0004610317,0.00009528176,0.00010806,0.0000168869,0.000004283306,0.000006458389,0.0009087497,0.001632829,0.9935504,0.0009055332,0.0001242207,0.002186244],"study_design_scores_gemma":[0.013139,0.006796664,0.09444492,0.0006505575,0.0001794238,0.0004072222,0.001260255,0.1753514,0.6578215,0.04868153,0.000893631,0.0003739515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747129,0.0001431994,0.02424853,0.0004344493,0.0001489654,0.00008863086,0.000006387929,0.000003083924,0.000213851],"genre_scores_gemma":[0.9992099,0.00005941461,0.0005467598,0.0000721472,0.00005400908,4.941994e-7,3.109786e-7,0.00000506763,0.00005188311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3357289,"threshold_uncertainty_score":0.163913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068819630128116,"score_gpt":0.3285927524434071,"score_spread":0.2597731223152911,"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."}}