{"id":"W1994607523","doi":"10.1145/2661229.2661246","title":"Toward BxDF display using multilayer diffraction","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Division of Information and Intelligent Systems; China Scholarship Council; Massachusetts Institute of Technology","keywords":"Computer science; Radiance; Computer graphics (images); Range (aeronautics); Graphics; Fabrication; Diffraction; Computer graphics; Optics; Physics; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000641249,0.0001863506,0.0001496937,0.0002312021,0.0001347064,0.00003132534,0.0002454222,0.0001519113,0.00001996172],"category_scores_gemma":[0.00008463307,0.0001859774,0.00009450458,0.000376229,0.000105584,0.0002641485,0.000005368169,0.0005170815,0.00003779534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006029078,"about_ca_system_score_gemma":0.000003856954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008391806,"about_ca_topic_score_gemma":0.00000710249,"domain_scores_codex":[0.9991912,0.00001461982,0.0001713839,0.0002020616,0.0001523633,0.000268357],"domain_scores_gemma":[0.9991242,0.0001867131,0.00002089212,0.0005744825,0.00003413068,0.00005963284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003639382,0.0002434158,0.00035781,0.0001743253,0.0001823016,0.000009056562,0.0002213306,0.7972581,0.04689149,0.005743975,0.0001406987,0.1487411],"study_design_scores_gemma":[0.0005930244,0.00008659552,0.001685439,0.00007433757,0.0001070334,0.00002952634,0.0001138304,0.9233679,0.03936933,0.02485794,0.009069373,0.0006456789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08646104,0.00003778247,0.9109955,0.0003055993,0.0004359093,0.00009191169,0.000007077959,0.001502534,0.000162577],"genre_scores_gemma":[0.9302131,0.0001262362,0.06945564,0.00009964807,0.00002534499,0.00001835463,0.000001946716,0.00004688577,0.00001286604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.843752,"threshold_uncertainty_score":0.7583938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278026008716923,"score_gpt":0.2677616927948996,"score_spread":0.2349814327077304,"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."}}