{"id":"W2128986489","doi":"10.1109/pacrim.1997.619909","title":"The simulation and execution architecture for the NAVL DVR system","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Architecture; Thread (computing); Discrete event simulation; Virtual machine; Systems architecture; Virtual reality; Distributed computing; Computer architecture; Embedded system; Operating system; Simulation","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":[0.0009188469,0.00005718205,0.00006119798,0.00003323077,0.0008328086,0.0002769795,0.000256579,0.0000366619,0.00005034574],"category_scores_gemma":[0.0003878198,0.00002322997,0.00004905324,0.0002440503,0.00006374512,0.00006160317,0.00003282269,0.00004725934,0.00003007916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296402,"about_ca_system_score_gemma":0.000002966993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008296286,"about_ca_topic_score_gemma":0.00001337944,"domain_scores_codex":[0.9991218,0.00004279265,0.0002497718,0.0001738734,0.0003167463,0.00009494751],"domain_scores_gemma":[0.9942434,0.005093935,0.00009049488,0.0003900606,0.0001557125,0.0000263867],"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":[0.00001298936,0.00001249247,0.000231399,0.000003281664,0.00000829658,5.482248e-8,0.0003909965,0.05887907,0.00008302724,0.2335015,0.02100548,0.6858714],"study_design_scores_gemma":[0.0000669151,0.00001121195,0.0007063026,0.000001916273,0.000004353635,0.000001427225,0.0003974212,0.6995232,0.0000637753,0.01522544,0.2839664,0.00003166121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005521718,0.0002874514,0.9796392,0.007767171,0.00007436675,0.0008264945,0.000006882239,0.0001198588,0.00575682],"genre_scores_gemma":[0.9944427,0.0000104602,0.001176329,0.0001644148,0.00007295053,0.00009870251,7.647589e-7,0.000004274043,0.00402941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.988921,"threshold_uncertainty_score":0.6405374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459069728925315,"score_gpt":0.4090473270799853,"score_spread":0.2631403541874537,"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."}}