{"id":"W2966044784","doi":"10.1111/cgf.13770","title":"Scalable Virtual Ray Lights Rendering for Participating Media","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rendering (computer graphics); Computer science; Computer graphics (images); Scalability; Parallel rendering; Multimedia; Database","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005723917,0.0003113472,0.0003758989,0.0004744269,0.0003004577,0.0004764578,0.001362655,0.0001577894,0.000009428705],"category_scores_gemma":[0.0000222919,0.000303779,0.0002597907,0.0009658024,0.00005525557,0.0007056554,0.0007900221,0.0002085584,0.0000226996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002685689,"about_ca_system_score_gemma":0.00006439675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001103079,"about_ca_topic_score_gemma":0.00001405521,"domain_scores_codex":[0.997457,0.00006855821,0.0005417889,0.0007959805,0.000411199,0.0007255275],"domain_scores_gemma":[0.9979628,0.0003970802,0.0002105869,0.0009586781,0.0002740193,0.0001968223],"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":[0.000005063455,0.00006489311,0.002551858,0.00003186916,0.00003352085,0.000002159837,0.0005413226,0.0001265036,0.00006702116,0.9808751,0.003628672,0.01207198],"study_design_scores_gemma":[0.000577977,0.0004032708,0.0008304557,0.00009381922,0.000008273594,0.000005921229,0.00001359437,0.9147565,0.002141007,0.05646649,0.02425243,0.0004502968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02297278,0.0001022223,0.9730902,0.0004092671,0.001930211,0.0005387787,0.00000610888,0.0008457745,0.0001046301],"genre_scores_gemma":[0.8965369,0.00003562284,0.1014877,0.001398549,0.0002619566,0.0001455841,0.00002494461,0.00004405349,0.00006470044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9244087,"threshold_uncertainty_score":0.9999414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456706835947482,"score_gpt":0.2756030275538953,"score_spread":0.2510359591944205,"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."}}