{"id":"W2099263029","doi":"10.1109/iccv.1990.139559","title":"Calculating surface reflectance using a single-bounce model of mutual reflection","year":2002,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reflection (computer programming); Surface (topology); Reflectivity; Bidirectional reflectance distribution function; Ray; Optics; Spectral power distribution; Intensity (physics); Light intensity; RGB color model; Basis (linear algebra); Diffuse reflection; Distribution (mathematics); Pixel; Physics; Power (physics); Mathematics; Computer science; Geometry; Mathematical analysis; Artificial intelligence","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":[0.00005459273,0.0000618563,0.0000805255,0.00001821945,0.0001287413,0.00001967832,0.00008128201,0.00001546464,0.0001639715],"category_scores_gemma":[0.000002478489,0.00005918099,0.00003977001,0.0003014774,0.00003856867,0.0001457024,0.00002197677,0.00005128195,0.0000121834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002637246,"about_ca_system_score_gemma":0.00001528455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034909,"about_ca_topic_score_gemma":0.000009760048,"domain_scores_codex":[0.9994403,0.000008087683,0.0001487427,0.0001569089,0.0001081939,0.0001377654],"domain_scores_gemma":[0.9996738,0.00001820746,0.00007711733,0.0001447079,0.00005667124,0.00002945987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000147275,0.00008235114,0.001249336,0.000001861663,0.000004437347,2.739468e-8,0.0002967359,0.1348653,0.8472633,0.01293803,0.00006540021,0.003231732],"study_design_scores_gemma":[0.0000720546,0.0000134995,0.00001256904,0.000006888032,0.000005413909,2.501365e-7,0.0001066498,0.9587979,0.03948249,0.001375464,0.00005758357,0.00006918642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7696615,0.000007950162,0.1970039,0.00004593693,0.00001497454,0.00006142953,0.000003110769,0.00001820104,0.03318295],"genre_scores_gemma":[0.9735439,3.215856e-7,0.02518304,0.00001702672,0.00003583095,0.000002898277,9.618946e-7,0.000004910632,0.00121109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8239326,"threshold_uncertainty_score":0.2413331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376010111471643,"score_gpt":0.3184598674841737,"score_spread":0.1808588563370093,"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."}}