{"id":"W3151950615","doi":"10.1109/wsc.2010.5679010","title":"Developing complex distributed simulation for industrial plant construction using High Level Architecture","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reusability; High-level architecture; Discrete event simulation; Architecture; Computer science; Systems engineering; Process (computing); Event (particle physics); Distributed computing; Software engineering; Engineering; Simulation; Operating system; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008507422,0.0002036943,0.0002999879,0.0002165276,0.0003710804,0.0002872988,0.0008006725,0.0002342706,0.0001573396],"category_scores_gemma":[0.002583053,0.0001461113,0.0001489423,0.0006027955,0.000226738,0.0004019381,0.0001790071,0.0003317975,0.000003853123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005109809,"about_ca_system_score_gemma":0.0001238994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839032,"about_ca_topic_score_gemma":0.00001549539,"domain_scores_codex":[0.9977366,0.00001974654,0.0009168908,0.0004446867,0.0006629798,0.0002190903],"domain_scores_gemma":[0.9953123,0.001097913,0.0009985068,0.0002892335,0.002233346,0.00006872384],"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":[0.0006562102,0.0001160665,0.03896227,0.00004890153,0.00007814241,7.375255e-8,0.0009997699,0.5222471,0.1773616,0.1930941,0.001792328,0.06464343],"study_design_scores_gemma":[0.0009464803,0.00002628201,0.01885551,0.00005331181,0.0000301466,0.00000407994,0.0001522941,0.8531868,0.01663014,0.1031847,0.006701841,0.0002284269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.461173,5.189556e-7,0.5363563,0.0008738171,0.0004551207,0.0007287492,0.0003009316,0.00005100883,0.00006060794],"genre_scores_gemma":[0.9494877,1.53328e-7,0.05002764,0.00007023606,0.0002385057,0.0000278755,0.0000465176,0.0000151531,0.00008620376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4883147,"threshold_uncertainty_score":0.5958245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4091336964585015,"score_gpt":0.4175994968354569,"score_spread":0.008465800376955379,"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."}}