{"id":"W4386247595","doi":"10.1167/jov.23.9.5195","title":"Surround induction with orientation modulated textures","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Luminance; Amplitude; Grating; Optics; Contrast (vision); Orientation (vector space); Amplitude modulation; Physics; Spatial frequency; Mathematics; Frequency modulation; Bandwidth (computing); Geometry; Computer science; Telecommunications","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":[0.00009209696,0.00005551815,0.00008213317,0.0001873437,0.00002467801,0.00002198341,0.00006270153,0.00004150095,0.000003476866],"category_scores_gemma":[0.00006470946,0.00003951194,0.00001849434,0.0004047055,0.00002464187,0.0003578441,0.00001120865,0.0001747409,0.00001235474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004797625,"about_ca_system_score_gemma":0.00000492947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.07924e-7,"about_ca_topic_score_gemma":4.713297e-7,"domain_scores_codex":[0.9995588,0.000005650326,0.0001451297,0.00004423026,0.0001584291,0.00008774901],"domain_scores_gemma":[0.9997455,0.00002836544,0.00005153168,0.00007088268,0.00008146491,0.00002225651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006605169,0.0000261473,0.0007257444,0.00003494535,0.00005144978,0.0000941311,0.0001838246,0.5462441,0.3263791,0.0002665497,0.00524328,0.1206846],"study_design_scores_gemma":[0.002902313,0.001830006,0.5369644,0.0008129605,0.0001062268,0.0006761509,0.00178857,0.3108001,0.0977571,0.03641612,0.00920939,0.0007366291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753112,0.00006465666,0.02366086,0.0002484945,0.0002742081,0.00003042492,4.592634e-7,0.0003317235,0.00007798264],"genre_scores_gemma":[0.990767,0.00009633029,0.009054695,0.000005475058,0.00004372045,4.763154e-7,0.000001810325,0.0000132463,0.00001727327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362387,"threshold_uncertainty_score":0.161125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147539763737706,"score_gpt":0.2784212143186582,"score_spread":0.2669458166812811,"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."}}