{"id":"W4389500423","doi":"10.1145/3613424.3614288","title":"Treelet Prefetching For Ray Tracing","year":2023,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia","funders":"","keywords":"Ray tracing (physics); Computer science; Tracing; Computer graphics (images); Operating system; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003411228,0.0004780769,0.0005375643,0.0007565943,0.0006912578,0.0008277108,0.001130758,0.0005516144,0.01443145],"category_scores_gemma":[0.002543905,0.0003614219,0.0002766343,0.001670478,0.0002971661,0.001290988,0.001026279,0.0007738659,0.002329105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889958,"about_ca_system_score_gemma":0.0009056584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005240181,"about_ca_topic_score_gemma":0.0093383,"domain_scores_codex":[0.9996548,0.00006346209,0.00002271819,0.00004643242,0.000145203,0.00006744979],"domain_scores_gemma":[0.9987718,0.000445821,0.00005877728,0.0004194396,0.0002344207,0.00006964136],"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":[0.00340943,0.000396431,0.005779424,0.0003608898,0.00009218005,0.0005690257,0.0005730012,0.06586982,0.07530196,0.02615469,0.06107252,0.7604207],"study_design_scores_gemma":[0.0002181262,0.0003546708,0.001926937,0.00005152834,0.0000510582,0.0002661537,0.000147766,0.9053077,0.04772096,0.01934375,0.02456811,0.00004328735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1486567,0.00195016,0.7929474,0.0005662161,0.0004575616,0.0001546104,0.001220462,0.0371643,0.01688271],"genre_scores_gemma":[0.6567785,0.0007634123,0.319699,0.0002481588,0.0001268325,0.000150402,0.001911734,0.002006556,0.01831538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01443145,"threshold_uncertainty_score":0.04827797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03980831429810974,"score_gpt":0.3235575431554822,"score_spread":0.2837492288573725,"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."}}