{"id":"W4249892919","doi":"10.1007/s11390-010-9377-2","title":"Volumetric Vector-Based Representation for Indirect Illumination Caching","year":2010,"lang":"en","type":"article","venue":"Journal of Computer Science and Technology","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Rendering (computer graphics); Global illumination; Voxel; Ray tracing (physics); Robustness (evolution); Grid; Preprocessor; Computer vision; Representation (politics); Artificial intelligence; Data structure; 3D rendering; Computer graphics (images); Mathematics; Optics","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":[0.001492614,0.00009060816,0.0001788134,0.002774826,0.0002552001,0.0002839458,0.001073665,0.00009245017,5.773572e-7],"category_scores_gemma":[0.0002866053,0.00007968489,0.00004634,0.003562196,0.0002801372,0.000841404,0.0001975158,0.000235081,2.438376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002612223,"about_ca_system_score_gemma":0.0002659595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002514813,"about_ca_topic_score_gemma":0.000002795923,"domain_scores_codex":[0.9988086,0.00001918955,0.0003303556,0.0002628716,0.0003902137,0.0001887301],"domain_scores_gemma":[0.9977158,0.0001302722,0.0003813044,0.0002949382,0.001406273,0.00007146189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003988962,0.00008391788,0.004483264,0.00001253898,0.000009310898,0.000006530105,0.0001589405,0.00002854163,0.01451926,0.3383576,0.0003562427,0.6419798],"study_design_scores_gemma":[0.0004854811,0.0007525356,0.007309277,0.00002520777,0.000007559287,0.000171921,0.000006463293,0.8841909,0.07514275,0.02897284,0.00277312,0.0001619401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678245,0.00003376729,0.8297143,0.00144949,0.0007562846,0.0001120358,2.870091e-7,0.00009894736,0.00001041731],"genre_scores_gemma":[0.7675169,0.000007231072,0.2322628,0.0001213959,0.00008283069,0.000003809815,2.249964e-7,0.000003337426,0.000001562307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8841624,"threshold_uncertainty_score":0.3249455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567769270327406,"score_gpt":0.3054938971616475,"score_spread":0.2898162044583735,"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."}}