{"id":"W2116984406","doi":"10.1111/cgf.12416","title":"Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Estimator; Sampling (signal processing); Stratified sampling; Rate of convergence; Convergence (economics); Computer science; Slice sampling; Variance reduction; Importance sampling; Rendering (computer graphics); Statistics; Monte Carlo method; Variance (accounting); Algorithm; Mathematics; Mathematical optimization; Artificial intelligence; Key (lock); Computer vision","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":[0.0005630732,0.000211062,0.0005171596,0.00181084,0.0001703018,0.0002141551,0.0007859168,0.0001118804,8.852832e-7],"category_scores_gemma":[0.00005310727,0.0002148611,0.0003645281,0.002410703,0.0001484708,0.0007327895,0.0002532456,0.00009113787,1.385791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416693,"about_ca_system_score_gemma":0.00005466639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004785947,"about_ca_topic_score_gemma":0.00004985397,"domain_scores_codex":[0.9983224,0.00009024215,0.00054352,0.0004253042,0.0003547478,0.0002638413],"domain_scores_gemma":[0.9972242,0.0009003887,0.0004967239,0.0006753685,0.0006298916,0.00007340649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002997317,0.0001762295,0.002010939,0.00004184027,0.0002518979,1.000703e-7,0.0003758876,0.005034042,0.00001671761,0.9882208,0.0001205612,0.003748041],"study_design_scores_gemma":[0.0003054425,0.0002440443,0.007710331,0.00004874394,0.000166511,7.438105e-7,0.00002172383,0.9349753,0.0003059428,0.05579954,0.0002180049,0.0002036734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0168675,0.0000272551,0.9821286,0.0000789,0.0002924236,0.0003325532,0.00003539892,0.0002161254,0.00002125156],"genre_scores_gemma":[0.9116019,0.000007234481,0.08815493,0.00009699658,0.00001360566,0.00002986797,0.0000777954,0.00001449499,0.000003143331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9324212,"threshold_uncertainty_score":0.8761781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237529161525793,"score_gpt":0.3217473153766061,"score_spread":0.2693720237613481,"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."}}