{"id":"W2082231036","doi":"10.1109/memb.2008.925478","title":"Staying in Tune","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sensory system; Gaze; Object (grammar); Computer science; Motor system; Computer vision; Balance (ability); Psychology; Artificial intelligence; Communication; Human–computer interaction; Neuroscience","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":[0.0001434376,0.00008787105,0.0001791916,0.0002104906,0.00001805994,0.000001287873,0.00005558673,0.0000506118,0.00001441362],"category_scores_gemma":[0.0003665561,0.00006779774,0.000008785275,0.0002159904,0.00007028908,0.00004595204,0.000009665629,0.0001531255,0.000006804373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001215871,"about_ca_system_score_gemma":0.000007028603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002868119,"about_ca_topic_score_gemma":0.00001377181,"domain_scores_codex":[0.9993827,0.00002636432,0.0001813482,0.0001874379,0.00004239403,0.0001797711],"domain_scores_gemma":[0.9996954,0.0001766684,0.00002125213,0.00006470473,0.000005992411,0.00003597386],"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":[0.00001855883,0.00001634256,0.0075462,0.00001546044,9.727429e-7,0.0001102848,0.0003313817,0.001229004,0.9886152,0.0005142249,0.00008087949,0.00152156],"study_design_scores_gemma":[0.01339654,0.001342913,0.7132079,0.0004512683,0.00001382759,0.0005536133,0.00007998908,0.216198,0.01500923,0.0006082183,0.0383242,0.0008143515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967024,0.0002528803,0.001464402,0.0007385251,0.0002593206,0.00008806825,7.912699e-7,0.00003531954,0.0004583409],"genre_scores_gemma":[0.9988545,0.000418661,0.0001103648,0.0003481022,0.0001377741,0.000009810394,0.000001375571,0.000005955826,0.0001134377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9736059,"threshold_uncertainty_score":0.2764712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06602221880084286,"score_gpt":0.2798162367444206,"score_spread":0.2137940179435777,"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."}}