{"id":"W2569534636","doi":"10.1145/3072959.2990495","title":"Antialiasing Complex Global Illumination Effects in Path-Space","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"National Science Foundation","keywords":"Path (computing); Global illumination; Computer science; Radiance; Context (archaeology); Filter (signal processing); Computer vision; Fourier transform; Algorithm; Space (punctuation); Artificial intelligence; Topology (electrical circuits); Mathematics; Optics; Physics; Mathematical analysis; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002861728,0.0007888791,0.0003706918,0.0004226632,0.0002349189,0.0009423317,0.0006632275,0.0004507255,0.002687342],"category_scores_gemma":[0.001321399,0.0003245116,0.000576183,0.000292052,0.0005002565,0.001062331,0.0007555399,0.001063031,0.0008340839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481816,"about_ca_system_score_gemma":0.0006464302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175956,"about_ca_topic_score_gemma":0.003497285,"domain_scores_codex":[0.9998409,0.00002075797,0.000003767933,0.00002651108,0.00008692517,0.00002109522],"domain_scores_gemma":[0.9995551,0.0001611007,0.00005816834,0.0001102486,0.00009226394,0.00002315993],"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":[0.0001659571,0.00009566874,0.002191109,0.000160256,0.00006516381,0.0002121559,0.0003930166,0.4809014,0.1439233,0.05282724,0.004025426,0.3150392],"study_design_scores_gemma":[0.000006874905,0.00002803652,0.0004281406,0.000008096687,0.00001082852,0.0001213795,0.0000248225,0.9628981,0.02430371,0.007829559,0.004324867,0.00001558748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01375505,0.00004041112,0.9843828,0.00002624941,0.0000169021,0.00001221667,0.00002333289,0.0007989964,0.0009440227],"genre_scores_gemma":[0.308773,0.0002528742,0.6846189,0.00007998754,0.00003649796,0.00005592505,0.0001906926,0.001166704,0.004825419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002687342,"threshold_uncertainty_score":0.008990049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683761880268215,"score_gpt":0.3068631971351362,"score_spread":0.280025578332454,"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."}}