{"id":"W1996598508","doi":"10.1145/2231816.2231819","title":"A theory of monte carlo visibility sampling","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Monte Carlo method; Slice sampling; Sampling (signal processing); Rendering (computer graphics); Computer science; Jitter; Algorithm; Visibility; Importance sampling; Monte Carlo integration; Hybrid Monte Carlo; Markov chain Monte Carlo; Mathematics; Statistics; Artificial intelligence; Computer vision; Optics; Filter (signal processing); Physics","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":[0.000794892,0.0001420445,0.000171019,0.0003805824,0.0001646418,0.00004248751,0.0008303259,0.00009337127,0.00001100506],"category_scores_gemma":[0.00003236887,0.0001358589,0.0001919904,0.00102016,0.0000834798,0.0004507571,0.000029031,0.0002075983,0.000002068854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537495,"about_ca_system_score_gemma":0.00002850538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002436306,"about_ca_topic_score_gemma":0.000008269988,"domain_scores_codex":[0.9988127,0.0001252322,0.0003009287,0.0002522057,0.0002636353,0.000245338],"domain_scores_gemma":[0.9981276,0.0003298478,0.00009725092,0.001192344,0.0001445868,0.0001083554],"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":[0.00001114282,0.0004542102,0.001935017,0.00002873074,0.00004841536,2.742317e-7,0.001241832,0.00005904919,0.0001154237,0.9539568,0.00002653634,0.04212251],"study_design_scores_gemma":[0.001169466,0.001007398,0.06980134,0.0002482803,0.0001427481,0.00003742844,0.0002445705,0.07959256,0.04918842,0.7894971,0.007584823,0.001485834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03297666,0.0001545544,0.9659714,0.0001011965,0.0002883186,0.0001463262,0.000008912864,0.0002887431,0.00006385903],"genre_scores_gemma":[0.9646941,0.0001334289,0.03483085,0.000278887,0.00002119765,0.00001873449,7.001406e-7,0.00001065888,0.00001147002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9317174,"threshold_uncertainty_score":0.5540164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741720719073967,"score_gpt":0.3217303885047345,"score_spread":0.2643131813139948,"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."}}