{"id":"W2082899094","doi":"10.1167/12.9.848","title":"Surround suppression of contrast sensitivity with natural scene stimuli","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Contrast (vision); Spatial frequency; Orientation (vector space); Optics; Spectral density; Isotropy; Psychophysics; Amplitude; Eccentricity (behavior); Physics; Mathematics; Grating; Geometry; Statistics; Perception; Psychology","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":[0.0002301417,0.0004068621,0.0003922068,0.0002792439,0.0001480899,0.0002977472,0.000345806,0.000205398,0.001521109],"category_scores_gemma":[0.0008658103,0.0002609205,0.0002636895,0.0001867338,0.0003086801,0.0002108816,0.0004931855,0.0003956393,0.0001970322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731888,"about_ca_system_score_gemma":0.0002188468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004544558,"about_ca_topic_score_gemma":0.0007854615,"domain_scores_codex":[0.999738,0.00003248373,0.0000248285,0.00008424435,0.0000844912,0.00003597985],"domain_scores_gemma":[0.9996417,0.0001278044,0.00006907521,0.00005797798,0.00005525659,0.00004818683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00024979,0.00004347585,0.0006215062,0.00003921873,0.000004918509,0.00003371847,0.00002477477,0.00009175319,0.9975345,0.00006489953,0.00001840592,0.00127296],"study_design_scores_gemma":[0.00008689074,0.002339704,0.0905699,0.00001843058,0.00004945694,0.0009396255,0.00004495263,0.004745092,0.8998114,0.0003490947,0.0010221,0.00002333584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935363,0.0001459501,0.004839715,0.000008785255,0.000009246747,0.0000404294,0.0000672498,0.00006589928,0.001286467],"genre_scores_gemma":[0.9937242,0.000136595,0.004951896,0.0000559398,0.000007213549,0.00008597536,0.0003024039,0.00004771124,0.0006879712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001521109,"threshold_uncertainty_score":0.005088627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375893258932648,"score_gpt":0.2944131143424557,"score_spread":0.2706541817531292,"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."}}