{"id":"W4394945036","doi":"10.1016/j.visres.2024.108396","title":"Surround masking reveals binocular adding and differencing channels","year":2024,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University Health Centre","keywords":"Masking (illustration); Binocular vision; Optics; Visual masking; Physics; Psychology; Perception; Neuroscience; Visual perception; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002296974,0.0003363855,0.00037479,0.000549743,0.000365536,0.0006058505,0.0004977296,0.0005027312,0.003736084],"category_scores_gemma":[0.001117878,0.0003226176,0.0002602666,0.0003083922,0.000578472,0.0008469901,0.0007816834,0.0007586173,0.000328751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631826,"about_ca_system_score_gemma":0.0002840756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000617421,"about_ca_topic_score_gemma":0.00100206,"domain_scores_codex":[0.9998454,0.00001508122,0.000007098796,0.00002832268,0.00005336999,0.00005060527],"domain_scores_gemma":[0.9991006,0.0004427842,0.00008201385,0.0001730652,0.00007994998,0.0001216844],"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":[0.0007990737,0.00002238669,0.0005546107,0.00003550803,0.000005122467,0.0001316893,0.00005026142,0.00009648182,0.9903413,0.002363172,0.00006103561,0.00553937],"study_design_scores_gemma":[0.0001799991,0.0005662209,0.06272674,0.00003149125,0.0001188082,0.002984204,0.0001928291,0.008894038,0.9143583,0.008374852,0.001540033,0.00003250967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985809,0.0003913097,0.007733026,0.0001050498,0.00003282097,0.00001068584,0.0001457545,0.00008589108,0.00568645],"genre_scores_gemma":[0.9967024,0.000128627,0.002314437,0.00003804081,0.00001558895,0.000003961782,0.00006663153,0.00002827886,0.0007021228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003736084,"threshold_uncertainty_score":0.01249844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335363139017717,"score_gpt":0.4750588116939768,"score_spread":0.2415224977922051,"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."}}