{"id":"W2063705560","doi":"10.1167/8.6.596","title":"Exploring the spatiotemporal properties of fractal rotation","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rotation (mathematics); Luminance; Stimulus (psychology); Fractal; Physics; Artificial intelligence; Perception; Motion perception; Optics; Computer vision; Mathematics; Computer science; Motion (physics); Psychology; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666011,0.0001053717,0.0001516378,0.0005400294,0.00007287275,0.0002334357,0.0001144905,0.0001618542,0.0005002352],"category_scores_gemma":[0.001014755,0.0001237664,0.0001837888,0.0002356936,0.0002008563,0.0002890123,0.0001830753,0.0002049653,0.000065033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654667,"about_ca_system_score_gemma":0.00008512932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002506457,"about_ca_topic_score_gemma":0.0002152187,"domain_scores_codex":[0.9999402,0.000009380921,0.00000460836,0.00001426453,0.00001743122,0.00001415239],"domain_scores_gemma":[0.9995442,0.0001793486,0.0001288136,0.00005939013,0.00005293225,0.00003533842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001416451,0.00001725409,0.005370119,0.00008660714,0.00001241156,0.0002015732,0.0001250146,0.001154159,0.9775784,0.001636295,0.0000721539,0.01360435],"study_design_scores_gemma":[0.00005058821,0.0008146269,0.5319396,0.00006028653,0.00009169456,0.004487437,0.0002309666,0.08658036,0.3661644,0.006237274,0.003277082,0.00006558041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832169,0.000526218,0.01461816,0.00004167102,0.000009887602,0.00002387244,0.00008310627,0.00003899071,0.001441355],"genre_scores_gemma":[0.9959585,0.0001826963,0.003578782,0.000008958633,0.000006549265,0.00001194416,0.00006918983,0.000006215586,0.0001771187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005400294,"threshold_uncertainty_score":0.00167346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620924756053989,"score_gpt":0.2767432247643703,"score_spread":0.2146507491589714,"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."}}