{"id":"W2118089750","doi":"10.1145/1013329.1013337","title":"Event reconstruction in time warp","year":2004,"lang":"en","type":"article","venue":"Proceedings - Workshop on Parallel and Distributed Simulation","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Overhead (engineering); Event (particle physics); Granularity; Queue; Parallel computing; State (computer science); Discrete event simulation; Real-time computing; Distributed computing; Embedded system; Algorithm; Operating system; Simulation; Computer network","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":[0.0007072021,0.0004959048,0.0005066113,0.0003393969,0.000422469,0.0007708839,0.0009715179,0.0006845418,0.003847201],"category_scores_gemma":[0.003518229,0.0003654695,0.0004436188,0.0004645151,0.0005955503,0.001094974,0.0009573897,0.000868573,0.0006772094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977536,"about_ca_system_score_gemma":0.0005196978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787195,"about_ca_topic_score_gemma":0.0009288719,"domain_scores_codex":[0.99935,0.0002437052,0.00003097365,0.00009985857,0.0002094944,0.00006588325],"domain_scores_gemma":[0.9986169,0.0006803146,0.0001333841,0.0004138196,0.0001042109,0.00005138291],"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":[0.0006982461,0.00009086246,0.00178838,0.0001492006,0.00005618701,0.0003403996,0.0002331474,0.822752,0.01977653,0.0494865,0.001557819,0.1030708],"study_design_scores_gemma":[0.00003218036,0.00008577208,0.0001910654,0.00001163463,0.00001511251,0.0001053234,0.00004038235,0.9655957,0.01673728,0.01185108,0.005319106,0.0000153674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04600587,0.0003517138,0.9470757,0.0001490462,0.00007815881,0.00007505213,0.00008871084,0.001810014,0.004365799],"genre_scores_gemma":[0.725435,0.0004977553,0.2685159,0.0001134879,0.00003875123,0.0001285477,0.0003388216,0.0003450778,0.004586689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003847201,"threshold_uncertainty_score":0.01287019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0587940816186351,"score_gpt":0.3694594834120105,"score_spread":0.3106654017933754,"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."}}