{"id":"W2540086564","doi":"10.1111/cgf.13043","title":"Reduced Aggregate Scattering Operators for Path Tracing","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Precomputation; Path tracing; Computer science; Rendering (computer graphics); Scattering; Tracing; Path (computing); Subspace topology; Aggregate (composite); Modular design; Ray tracing (physics); Asset (computer security); Decoupling (probability); Distributed ray tracing; Algorithm; Theoretical computer science; Artificial intelligence; Computation; Optics; Computer security; Physics; Engineering; Computer network","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":[0.0003339101,0.0004985081,0.0003784533,0.0006354671,0.0003648589,0.0009433617,0.0006724364,0.0003838163,0.003553907],"category_scores_gemma":[0.001485507,0.0002022387,0.0004625672,0.0006785364,0.000507231,0.001049902,0.0009418156,0.0009908401,0.0006517777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204883,"about_ca_system_score_gemma":0.000659083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003586933,"about_ca_topic_score_gemma":0.003326775,"domain_scores_codex":[0.9997393,0.00005058094,0.00001151272,0.00002620406,0.0001452656,0.00002706354],"domain_scores_gemma":[0.9994068,0.0002082055,0.00004143593,0.0001455181,0.0001560303,0.00004189694],"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":[0.0002578386,0.0001215558,0.001161432,0.0001402693,0.00003813943,0.0001854747,0.000449183,0.4120814,0.06473839,0.326501,0.008749566,0.1855758],"study_design_scores_gemma":[0.000006690826,0.0000100347,0.00006105594,0.000003229187,0.000002393256,0.0000207583,0.00001950682,0.9710688,0.003521866,0.02300298,0.002276391,0.000006303248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0222158,0.00004128372,0.974547,0.00005464945,0.00002764304,0.00002215278,0.00009298082,0.0007590581,0.002239505],"genre_scores_gemma":[0.3714955,0.0001478651,0.6232788,0.00006843216,0.00004642853,0.0001030775,0.0003218214,0.0005382671,0.003999937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003586933,"threshold_uncertainty_score":0.01188898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026119093078203,"score_gpt":0.2745297430046396,"score_spread":0.2542685520738575,"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."}}