{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002574664,0.0005833549,0.0007646453,0.000656274,0.0007148679,0.001264133,0.0011031,0.0006667131,0.003100851],"category_scores_gemma":[0.009964077,0.0003125345,0.000317718,0.0007501256,0.0006594977,0.001443391,0.0009982692,0.0006174569,0.0004752926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008342433,"about_ca_system_score_gemma":0.001452363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003769405,"about_ca_topic_score_gemma":0.002296632,"domain_scores_codex":[0.9987716,0.0003555615,0.00008030521,0.000133963,0.0005536216,0.0001049927],"domain_scores_gemma":[0.9940199,0.003747483,0.0003581897,0.000688199,0.0009655533,0.0002207465],"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":[0.0008807023,0.0002019786,0.00516525,0.0001516136,0.00005551832,0.0000742522,0.0001808112,0.8784498,0.009054202,0.02396416,0.001424948,0.08039674],"study_design_scores_gemma":[0.00005758566,0.00009880673,0.0002587027,0.000005365473,0.000008894013,0.00002018709,0.00002138764,0.9914079,0.003626683,0.003780989,0.0007070415,0.000006504015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3860004,0.0009914055,0.5875378,0.0005249504,0.0001843242,0.0001603145,0.0002356763,0.002722571,0.0216426],"genre_scores_gemma":[0.918812,0.0002246754,0.07845494,0.00004399041,0.00003239136,0.00007689153,0.000168966,0.0001054734,0.002080625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003769405,"threshold_uncertainty_score":0.01361632,"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."}}