{"id":"W2094348587","doi":"10.1167/8.15.2","title":"Interpreting ambiguous visual information in motor learning","year":2008,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Visual feedback; Task (project management); Motor learning; Psychology; Adaptation (eye); Rotation (mathematics); Motor control; Cognitive psychology; Artificial intelligence; Communication; Computer science; Neuroscience","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":[0.0002975692,0.00005210648,0.0001054536,0.0002241298,0.0000765211,0.00003141552,0.00007882145,0.0000306891,0.00001707405],"category_scores_gemma":[0.001171783,0.00004201641,0.0000510978,0.0001217107,0.00001653926,0.001090131,0.00001871092,0.0002479778,0.00002188026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004366593,"about_ca_system_score_gemma":0.00002949454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009364917,"about_ca_topic_score_gemma":5.127551e-7,"domain_scores_codex":[0.9990836,0.0001014749,0.0003936625,0.00004827791,0.0002774941,0.00009542804],"domain_scores_gemma":[0.999437,0.00008448626,0.0003545404,0.0000286301,0.00005584499,0.00003954766],"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":[0.0003714306,0.00007516667,0.001665865,0.000009896182,0.000001403566,0.00009010302,0.002434796,0.0045591,0.8990964,0.00003102912,0.0000424655,0.09162238],"study_design_scores_gemma":[0.004465918,0.003904754,0.4768633,0.0006514494,0.00001022778,0.001180393,0.0008473213,0.4748595,0.02574542,0.0002190291,0.01091547,0.0003372004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955108,0.00001749428,0.003655744,0.000144718,0.0002080917,0.00004780199,1.876412e-7,0.000009016718,0.0004061995],"genre_scores_gemma":[0.9994538,0.00005476416,0.0001898099,0.0001881285,0.00006263974,4.796411e-7,2.124342e-7,0.000003484333,0.0000466622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8733509,"threshold_uncertainty_score":0.171338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568752215914229,"score_gpt":0.2822763277010811,"score_spread":0.2665888055419388,"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."}}