{"id":"W4402905815","doi":"10.1167/jov.24.10.1321","title":"Spatial Tuning of Visual Responses to Symmetries in Textures","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Homogeneous space; Geology; Psychology; Computer science; Artificial intelligence; Geometry; Mathematics","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":[0.0002640967,0.00003423949,0.00008456181,0.000239795,0.00002343952,0.00003889565,0.00008417459,0.000009762004,0.00005275572],"category_scores_gemma":[0.00002606692,0.00002529356,0.00004809151,0.0003652275,0.00001528783,0.0001166575,0.00002745421,0.00008344454,0.000006481323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001064231,"about_ca_system_score_gemma":0.00007133619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004626394,"about_ca_topic_score_gemma":0.000005019699,"domain_scores_codex":[0.999539,0.00001675165,0.0001981405,0.00005225143,0.0001343546,0.00005951217],"domain_scores_gemma":[0.9996898,0.0001217549,0.00005705265,0.0000401975,0.00005784171,0.00003339806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002067399,0.0002760854,0.03871946,0.00001887904,0.00002521253,0.00001275976,0.001856343,0.0004202263,0.294964,0.009189682,0.004583346,0.6497273],"study_design_scores_gemma":[0.0007788218,0.00261375,0.7995614,0.00153998,0.0000528289,0.00001524981,0.003859699,0.01091523,0.1020886,0.01469459,0.06355276,0.0003271386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892427,0.00009734976,0.00913154,0.001044338,0.00009165551,0.00003587368,0.000002810054,0.000001998575,0.0003517132],"genre_scores_gemma":[0.9993604,0.000002525085,0.000405278,0.00002142818,0.0001421797,8.58447e-7,2.883078e-7,0.000002421556,0.00006458811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7608419,"threshold_uncertainty_score":0.1031442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176720317554867,"score_gpt":0.3531662317057257,"score_spread":0.341399028530177,"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."}}