{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008166141,0.0001770194,0.0002350196,0.0003004367,0.0001981848,0.0002912538,0.0002297037,0.0001693663,0.0001338493],"category_scores_gemma":[0.0008568381,0.0001505598,0.00006754213,0.001140852,0.00006529508,0.0004824663,0.00006039183,0.0001877401,0.0001366723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312846,"about_ca_system_score_gemma":0.00002418324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008765012,"about_ca_topic_score_gemma":0.000002940248,"domain_scores_codex":[0.9978942,0.00001613486,0.0006734427,0.0005425985,0.0006400618,0.0002335812],"domain_scores_gemma":[0.9988325,0.0003577326,0.0002486295,0.0001665424,0.0002757283,0.0001189261],"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":[0.0001504452,0.000162432,0.01599334,0.000004016529,0.000005630099,7.876894e-7,0.0002322728,0.9203389,0.0001966496,0.01185477,0.0004096253,0.05065108],"study_design_scores_gemma":[0.002234505,0.0001018188,0.07936765,0.0001569677,0.00001455619,0.00001159021,0.0005844982,0.5468641,0.000217588,0.3644946,0.005498124,0.0004539985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359115,0.00004057944,0.1592654,0.00218874,0.00005218393,0.0005633878,0.00002676649,0.0001793797,0.001772017],"genre_scores_gemma":[0.9978673,0.00002406287,0.001518518,0.0001321135,0.0000597393,0.00005637333,0.00005567189,0.00001085005,0.0002753332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3734749,"threshold_uncertainty_score":0.6139652,"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."}}