{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152705,0.0001920618,0.0001773449,0.000922803,0.0003562068,0.00009189945,0.001406534,0.0001470895,0.00001288724],"category_scores_gemma":[0.000008629552,0.0001925347,0.0002168611,0.002469369,0.00005601114,0.0002951994,0.00001596755,0.0003134574,0.000006862012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002393605,"about_ca_system_score_gemma":0.00009215564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002286548,"about_ca_topic_score_gemma":0.00006026223,"domain_scores_codex":[0.9986737,0.00005042741,0.0003044883,0.0004664725,0.0002700615,0.0002348504],"domain_scores_gemma":[0.9982331,0.00009724678,0.00005086662,0.001389779,0.0001475263,0.00008150496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007013624,0.0002233999,0.0004887676,0.00002350673,0.00004933593,0.000006786841,0.0002199218,0.00001893367,0.00006108047,0.9782461,0.001485934,0.01916925],"study_design_scores_gemma":[0.001180954,0.0005373167,0.0186462,0.000352035,0.0001050702,0.00001881377,0.00003664017,0.03988655,0.02970152,0.5712116,0.3372204,0.001102953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001309567,0.00009460364,0.9918878,0.003806207,0.0006021466,0.0001918341,0.000005579926,0.0008749688,0.001227266],"genre_scores_gemma":[0.9770089,0.0005149667,0.01865588,0.003133817,0.00002250482,0.00007081795,0.000005203305,0.00001658093,0.0005712723],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9756994,"threshold_uncertainty_score":0.7851339,"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."}}