{"id":"W2046414217","doi":"10.1167/13.11.1","title":"Stereopsis and mean luminance","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Luminance; Contrast (vision); Optics; Stereopsis; Mathematics; Visual field; Artificial intelligence; Computer vision; Physics; Computer science","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":[0.0004478169,0.0002079858,0.0002634301,0.0005433301,0.0002268428,0.0006745915,0.0003781005,0.0003632313,0.002699947],"category_scores_gemma":[0.003129552,0.0001791407,0.0002392355,0.0002656134,0.000729956,0.0005891967,0.000774189,0.0005889368,0.0002646208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682618,"about_ca_system_score_gemma":0.0005374195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379378,"about_ca_topic_score_gemma":0.0009783589,"domain_scores_codex":[0.99935,0.00009348159,0.00003603947,0.000106467,0.0003321507,0.00008183507],"domain_scores_gemma":[0.9981995,0.0007002046,0.0004713858,0.0001830476,0.000250835,0.0001950197],"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":[0.001300872,0.00008546633,0.01510597,0.0002538766,0.00003976609,0.0002210566,0.0002432463,0.001078693,0.9089399,0.01392515,0.000577835,0.05822814],"study_design_scores_gemma":[0.0001334348,0.001354165,0.6426263,0.0001175177,0.000104991,0.002017556,0.0002214155,0.00797146,0.3113281,0.02899163,0.005038735,0.00009462611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233639,0.002077843,0.02639429,0.00040698,0.00006206465,0.00003849483,0.0003897433,0.0003678947,0.04689881],"genre_scores_gemma":[0.9971018,0.0001840721,0.001819927,0.00005966949,0.00001230537,0.00001392829,0.00008694852,0.00002923135,0.0006919014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002699947,"threshold_uncertainty_score":0.00903219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04072301758237921,"score_gpt":0.3329973684586051,"score_spread":0.2922743508762258,"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."}}