{"id":"W2037557584","doi":"10.1889/1.1831739","title":"39.1: New Reflective Color Display Technique Based on Total Internal Reflection and Subtractive Color Filtering","year":2001,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subtractive color; RGB color model; Reflection (computer programming); Computer vision; Colored; Artificial intelligence; Optics; Computer science; Filter (signal processing); Color balance; Materials science; Color image; Image (mathematics); Image processing; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001327704,0.000185478,0.0002216827,0.00009712455,0.0001604525,0.00004131289,0.0001961081,0.00008731285,0.00008907086],"category_scores_gemma":[0.00001762997,0.0001675543,0.000108469,0.0003530174,0.0001677784,0.0001507755,0.00007511899,0.0002773675,0.000005295362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009402526,"about_ca_system_score_gemma":0.00009930369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479218,"about_ca_topic_score_gemma":0.00003801737,"domain_scores_codex":[0.9988552,0.00002877213,0.0002567291,0.0004053763,0.0001994562,0.0002544536],"domain_scores_gemma":[0.9992329,0.00017362,0.0001493563,0.0002532287,0.00004813226,0.0001426956],"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":[0.000202955,0.000204462,0.003830309,0.000003998293,0.0000132183,0.000001670503,0.00004704835,0.0003657052,0.9912031,0.003611411,0.00006067806,0.0004554137],"study_design_scores_gemma":[0.001686649,0.00325262,0.1053837,0.0003112881,0.0001184479,0.00004293828,0.0004324991,0.001018867,0.8746956,0.001268732,0.01086626,0.0009224145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5264946,0.000003468771,0.00122967,0.001568141,0.00008042898,0.0008146731,0.00003433786,0.0001120848,0.4696625],"genre_scores_gemma":[0.998568,0.000003767912,0.000466799,0.000079884,0.0001055028,0.0002424428,0.00001176828,0.00001586753,0.0005059617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4720733,"threshold_uncertainty_score":0.6832668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009779620101383456,"score_gpt":0.2806821813321875,"score_spread":0.2709025612308041,"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."}}