{"id":"W4414864001","doi":"10.1111/cgf.70230","title":"High‐Performance Elliptical Cone Tracing","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tree traversal; Conic section; Frustum; Ray tracing (physics); Beam tracing; Cone (formal languages); Intersection (aeronautics); Distributed ray tracing","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":[0.0003980537,0.000372634,0.0003996456,0.0003989282,0.0003425874,0.0007628389,0.0008607629,0.0003571014,0.004767078],"category_scores_gemma":[0.002047624,0.0001797791,0.0002559022,0.0005469955,0.0003196598,0.0006892554,0.0006520088,0.000466727,0.0007958072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000597347,"about_ca_system_score_gemma":0.0007337512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009351538,"about_ca_topic_score_gemma":0.008951401,"domain_scores_codex":[0.9995957,0.00005346899,0.00001532827,0.00003465861,0.0002312361,0.00006946536],"domain_scores_gemma":[0.9990237,0.0003963076,0.00005524608,0.0001270642,0.0003462268,0.00005143503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007067972,0.0002461326,0.008133329,0.0001759609,0.00004951348,0.0004989957,0.000565872,0.5874968,0.05116011,0.04497489,0.01016293,0.2958286],"study_design_scores_gemma":[0.00001044199,0.00002516062,0.0002379044,0.000004932023,0.000001490164,0.00004624407,0.00002643523,0.9904818,0.00546233,0.001975793,0.001722,0.000005535511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1119124,0.0001318537,0.8714641,0.00009349996,0.00003994231,0.00006787628,0.000149808,0.003961314,0.01217918],"genre_scores_gemma":[0.7597311,0.00006459915,0.235923,0.00003946344,0.00001017528,0.00003204404,0.0003133003,0.0003673082,0.003519095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009351538,"threshold_uncertainty_score":0.01859426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006578449778132144,"score_gpt":0.2246939684949704,"score_spread":0.2181155187168382,"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."}}