{"id":"W2890647865","doi":"10.47749/t/unicamp.2018.1035903","title":"Estudo comparativo entre OpenGL e CUDA em acessos aleatórios à vizinhança de primeira ordem","year":2018,"lang":"pt","type":"dissertation","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"CUDA; OpenGL; Computer science; General-purpose computing on graphics processing units; Computer graphics (images); Humanities; Operating system; Parallel computing; Computational science; Physics; Art; Graphics; Visualization; Artificial intelligence","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009493444,0.001247511,0.00124959,0.000866116,0.0008915858,0.002334557,0.004084532,0.0008491754,0.001055372],"category_scores_gemma":[0.00006960192,0.00123774,0.0004951805,0.00213856,0.0001495831,0.0009688315,0.001053433,0.0007845414,0.0004976564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000579,"about_ca_system_score_gemma":0.0009993677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004684185,"about_ca_topic_score_gemma":0.00169412,"domain_scores_codex":[0.9936218,0.0004872697,0.001479612,0.002046274,0.001192002,0.001173033],"domain_scores_gemma":[0.9948162,0.0002264085,0.001036269,0.001828847,0.001566091,0.0005261575],"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":[0.0002327282,0.003140386,0.005440459,0.001262827,0.001139689,0.0001519609,0.1430284,0.00004849332,0.001060636,0.5544426,0.204186,0.08586594],"study_design_scores_gemma":[0.001892122,0.001926529,0.004767679,0.001756366,0.0002732332,0.00007475399,0.003949388,0.8170161,0.07132712,0.004830766,0.08834735,0.003838598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05051687,0.0005758179,0.9367065,0.0001747247,0.0021372,0.002012946,0.00004116398,0.001280288,0.006554443],"genre_scores_gemma":[0.855379,0.001187332,0.1015183,0.00284087,0.001277502,0.0004996177,0.002074181,0.0003213044,0.03490194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8351883,"threshold_uncertainty_score":0.9998578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267941316423628,"score_gpt":0.3369496540555986,"score_spread":0.3101555224132359,"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."}}