{"id":"W1974722603","doi":"10.5555/1639809.1639860","title":"Selecting GVT interval for time-warp-based distributed simulation using reinforcement learning technique","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Timestamp; Interval (graph theory); Computation; Reinforcement learning; Overhead (engineering); Process (computing); Distributed computing; Simple (philosophy); Real-time computing; Parallel computing; Algorithm; Artificial intelligence; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001771259,0.0002827365,0.0003638446,0.0004069348,0.0006490355,0.0004086395,0.0004738762,0.0001866018,0.0001373049],"category_scores_gemma":[0.004262791,0.0002729337,0.0001945255,0.0008469484,0.00005013359,0.0004793968,0.00006414002,0.0002680292,0.00004065849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182262,"about_ca_system_score_gemma":0.0001206858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003449951,"about_ca_topic_score_gemma":0.00000250186,"domain_scores_codex":[0.9968513,0.0001605236,0.001150242,0.0006697351,0.0007655952,0.0004026144],"domain_scores_gemma":[0.9945599,0.002800907,0.0006779193,0.0005714227,0.001271947,0.0001178784],"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":[0.00005062542,0.00004224813,0.002829646,0.000005449062,0.000005326573,2.348275e-7,0.00008195998,0.962083,0.01518906,0.0006098237,0.000002964769,0.01909969],"study_design_scores_gemma":[0.0005814201,0.0001282794,0.004122754,0.00007468407,0.00002109071,3.570168e-7,0.00003853712,0.9776455,0.01247283,0.003015209,0.00158589,0.0003135133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291043,0.000005180496,0.8688248,0.0001186581,0.00004360557,0.001337752,0.000009128622,0.0004165796,0.0001398948],"genre_scores_gemma":[0.9345672,2.822029e-7,0.06495906,0.0001420431,0.00008247913,0.0000648319,0.00004455119,0.0000232349,0.0001163264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8054628,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1416199438962836,"score_gpt":0.4401805692379891,"score_spread":0.2985606253417055,"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."}}