{"id":"W2108211046","doi":"10.1109/pads.2005.25","title":"Sequential Performance of Asynchronous Conservative PDES Algorithms","year":2005,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Discrete event simulation; Asynchronous communication; Queue; Timestamp; Implementation; Event (particle physics); Algorithm; Scale (ratio); Range (aeronautics); Throughput; Distributed computing; Parallel computing; Real-time computing; Simulation","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005685561,0.00006202763,0.0001287097,0.00009305096,0.00007820632,0.00003625789,0.0003126626,0.00003784625,0.002298231],"category_scores_gemma":[0.0001103994,0.00004415256,0.00005299132,0.0003891079,0.0001096382,0.0002401809,0.00005320822,0.00004542687,0.0002822225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001992216,"about_ca_system_score_gemma":0.0000474615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002865647,"about_ca_topic_score_gemma":0.00001002967,"domain_scores_codex":[0.9988219,0.00002814606,0.0004192773,0.0001861014,0.0004464342,0.00009816275],"domain_scores_gemma":[0.9988672,0.0003016704,0.000144192,0.0003175839,0.000329809,0.00003952353],"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":[0.000029021,0.0002035981,0.04054523,0.000004385415,0.00002079777,3.733242e-7,0.0006502512,0.004248059,0.006668644,0.0515647,0.0174151,0.8786498],"study_design_scores_gemma":[0.0004965186,0.0002016812,0.04880511,0.00001193095,0.00001039382,0.000007493994,0.000381429,0.436803,0.342418,0.01068625,0.1599081,0.0002702252],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395072,0.00002230999,0.1235359,0.001089244,0.00003204192,0.0001751691,0.00001103812,0.00007837647,0.03554875],"genre_scores_gemma":[0.9480033,0.000008481702,0.04816327,0.0002377981,0.00005619909,0.00001368159,0.00000204094,0.000003622441,0.003511611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8783796,"threshold_uncertainty_score":0.9986138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364795704146249,"score_gpt":0.4221471140401451,"score_spread":0.2856675436255202,"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."}}