{"id":"W4408458642","doi":"10.3390/vision9010023","title":"Simultaneous Regularity Contrast and Luminance Polarity","year":2025,"lang":"en","type":"article","venue":"Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"","keywords":"Contrast (vision); Luminance; Polarity (international relations); Artificial intelligence; Computer science; Computer vision; Chemistry","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":[0.0001364298,0.00007670814,0.00009338248,0.00004911044,0.0002444263,0.00008643155,0.00009187386,0.00007041809,0.0000520547],"category_scores_gemma":[0.0005816275,0.00006880869,0.00001803149,0.0001878465,0.00008647027,0.0001394997,0.00006056834,0.0001182649,0.0000305531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001479302,"about_ca_system_score_gemma":0.00002019524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001264439,"about_ca_topic_score_gemma":0.000005031784,"domain_scores_codex":[0.9992949,0.00006514669,0.0001034815,0.0002911984,0.0001151672,0.0001301494],"domain_scores_gemma":[0.9996315,0.0001347002,0.00002922956,0.0001361571,0.00002463438,0.00004375225],"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":[0.00003254078,0.00004825754,0.00006353772,0.00003099545,3.737263e-7,0.000008338732,0.00006476797,0.000003144559,0.8957075,0.009169744,0.0001315585,0.09473918],"study_design_scores_gemma":[0.001385294,0.0004570033,0.008598961,0.0002887768,0.00001580897,0.00004532531,0.00009047834,0.0650124,0.8395402,0.0348673,0.04929217,0.0004063155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784765,0.000093557,0.0147979,0.001105404,0.0003127697,0.0001405847,0.000008901523,0.0001356932,0.004928748],"genre_scores_gemma":[0.9934248,0.00004659986,0.0003032394,0.00169322,0.0000155061,0.000001602769,6.666266e-7,0.000004400077,0.004509957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09433287,"threshold_uncertainty_score":0.2805937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963167696135943,"score_gpt":0.3284921561042598,"score_spread":0.3088604791429004,"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."}}