{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032539,0.0005124738,0.0004080456,0.0004162673,0.0002563464,0.001817206,0.0006346597,0.00100304,0.00212577],"category_scores_gemma":[0.01017241,0.0003761562,0.0003364258,0.0002730305,0.001668772,0.003088855,0.001261802,0.001123979,0.0002081649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302606,"about_ca_system_score_gemma":0.0003894518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008006446,"about_ca_topic_score_gemma":0.0006919891,"domain_scores_codex":[0.999388,0.0002153149,0.00003519588,0.0001354442,0.000137425,0.00008867503],"domain_scores_gemma":[0.9977453,0.001376039,0.0003672159,0.0002343097,0.0001441089,0.0001329773],"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":[0.002069881,0.0004437472,0.02721759,0.001051371,0.0001608457,0.003256433,0.004380267,0.1058885,0.4220198,0.08350655,0.001332844,0.3486722],"study_design_scores_gemma":[0.0001717604,0.001507404,0.07947516,0.0003758274,0.0001774364,0.001307175,0.002250355,0.2733839,0.2020922,0.4317383,0.007251997,0.0002684296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886424,0.001437538,0.08643169,0.001115392,0.0002178938,0.00006520421,0.00009643562,0.0002526179,0.02174089],"genre_scores_gemma":[0.9906018,0.0003613969,0.008046249,0.00006746849,0.00003095246,0.00001248539,0.0000359,0.00003364244,0.0008101661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00212577,"threshold_uncertainty_score":0.00711143,"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."}}