{"id":"W4377984119","doi":"10.2352/cic.2000.8.1.art00022","title":"Retinex in Matlab","year":2000,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Color constancy; Computer science; MATLAB; Lightness; Computer vision; Artificial intelligence; Computation; Implementation; Pixel; Computer graphics (images); Image (mathematics); Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515563,0.001468561,0.001087218,0.001621158,0.0005283998,0.002653977,0.002187911,0.001174442,0.08278454],"category_scores_gemma":[0.006418139,0.0008332696,0.001274426,0.001087172,0.0006950797,0.001797894,0.001675038,0.002199576,0.04158962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605867,"about_ca_system_score_gemma":0.0009451799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699619,"about_ca_topic_score_gemma":0.001849455,"domain_scores_codex":[0.9987419,0.0003329923,0.0001645225,0.0001850421,0.0004817028,0.00009383456],"domain_scores_gemma":[0.9978758,0.001051641,0.0001582145,0.0003378656,0.0005208896,0.00005559611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006026354,0.0001516557,0.000803538,0.00243455,0.0002877561,0.0006516726,0.0006847124,0.06444183,0.01529001,0.2046479,0.180917,0.5290869],"study_design_scores_gemma":[0.0003489718,0.0001535024,0.0006246206,0.0006975523,0.0000920087,0.001433433,0.0001539835,0.2419771,0.04854141,0.1164305,0.589362,0.0001850036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0006441349,0.0004530059,0.9357708,0.0001693383,0.0001351471,0.00006693777,0.001404044,0.04909418,0.01226247],"genre_scores_gemma":[0.02518914,0.001323588,0.9318951,0.0005000908,0.0001324161,0.0008500363,0.002477012,0.01685464,0.02077805],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08278454,"threshold_uncertainty_score":0.2769418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004329788983833215,"score_gpt":0.1843943664980848,"score_spread":0.1800645775142516,"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."}}