{"id":"W4417000531","doi":"10.1145/3763286","title":"Jump Restore Light Transport","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Markov chain Monte Carlo; Focus (optics); Jump; Sampling (signal processing); Importance sampling; Computer graphics; Markov chain; Markov process; Monte Carlo method","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":[0.0008614804,0.000620375,0.0009383123,0.0009635148,0.00136461,0.001845603,0.001862821,0.001816995,0.0123908],"category_scores_gemma":[0.00463328,0.0005405495,0.0008749831,0.0007580897,0.001373894,0.00185452,0.002278886,0.002140826,0.001590597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406437,"about_ca_system_score_gemma":0.002388308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00925965,"about_ca_topic_score_gemma":0.006616957,"domain_scores_codex":[0.9994099,0.00008679628,0.00001878906,0.0001289746,0.0002597837,0.00009568173],"domain_scores_gemma":[0.998746,0.0004932407,0.0000993483,0.0002745615,0.0002671832,0.0001197181],"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":[0.0003383581,0.0001806047,0.002738753,0.0001891729,0.00006604363,0.0003092067,0.0002534309,0.5391642,0.01148495,0.3593259,0.01075239,0.07519703],"study_design_scores_gemma":[0.00001823126,0.0000134164,0.0001489748,0.00001082748,0.000006866727,0.0000254737,0.00001525782,0.9659995,0.001683206,0.0285687,0.003493237,0.00001631097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02884587,0.0002942599,0.9405901,0.0007298044,0.0003200946,0.0001570091,0.0004615564,0.002791523,0.02580986],"genre_scores_gemma":[0.7006391,0.000407577,0.2661376,0.0005346229,0.0001311277,0.0003522824,0.0006637512,0.001241915,0.02989211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0123908,"threshold_uncertainty_score":0.04145133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792974231777889,"score_gpt":0.289183965998506,"score_spread":0.2712542236807271,"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."}}