{"id":"W3150314884","doi":"10.1109/cgiv.2006.95","title":"Environment Lighting for Point Sampled Geometry","year":2006,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Rendering (computer graphics); Specular reflection; Computer science; Shader; Computer graphics (images); Real-time rendering; Point (geometry); Global illumination; Vertex (graph theory); Point cloud; Specular highlight; Computer vision; Artificial intelligence; Geometry; Optics; Graph; Mathematics; Theoretical computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001598063,0.0003942558,0.00035229,0.0002856592,0.0002941102,0.001049863,0.0004924677,0.0003595529,0.008264041],"category_scores_gemma":[0.0008692035,0.0002051508,0.0005270424,0.00023954,0.0005251532,0.0005516707,0.00103675,0.0008677099,0.001920145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314038,"about_ca_system_score_gemma":0.0002370053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000649579,"about_ca_topic_score_gemma":0.0008804376,"domain_scores_codex":[0.9996688,0.00006101662,0.000006452982,0.00003281389,0.0002028218,0.00002802708],"domain_scores_gemma":[0.9997944,0.00006593179,0.00001167376,0.00006841093,0.00004390923,0.00001576672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001846624,0.00007215651,0.0008782367,0.0002937288,0.00003252695,0.0006418971,0.000504352,0.1109102,0.1240157,0.4612163,0.01488595,0.2863643],"study_design_scores_gemma":[0.00005821041,0.00009892882,0.0008894115,0.00004987631,0.00001567247,0.001076111,0.0001119395,0.684761,0.05016856,0.172465,0.09025247,0.00005280865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009733741,0.0001971617,0.9766338,0.00007971478,0.00006461584,0.00002994374,0.00008881315,0.001358774,0.01181338],"genre_scores_gemma":[0.4422401,0.0008011088,0.5413319,0.0001397964,0.0001248958,0.0001365724,0.0003754145,0.001852747,0.01299753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008264041,"threshold_uncertainty_score":0.02764595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493423816089331,"score_gpt":0.2548082860645377,"score_spread":0.2398740479036444,"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."}}