{"id":"W2133888634","doi":"10.5555/2433508.2433903","title":"Developing complex distributed simulation for industrial plant construction using high level architecture","year":2010,"lang":"en","type":"article","venue":"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; Architecture; Discrete event simulation; 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":[0.000772048,0.0002415247,0.0003237304,0.0003132921,0.0004368494,0.0004468689,0.0004908203,0.0002767582,0.0005919775],"category_scores_gemma":[0.001864453,0.0002117358,0.000127635,0.0005821784,0.0001566423,0.0003764021,0.0001034298,0.0003216149,0.0000222611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007686151,"about_ca_system_score_gemma":0.000204341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003669191,"about_ca_topic_score_gemma":0.00006684055,"domain_scores_codex":[0.9973757,0.00009916661,0.0009894101,0.0006114966,0.0006437421,0.0002805142],"domain_scores_gemma":[0.995215,0.002332667,0.0005566927,0.0005463243,0.001236605,0.0001127013],"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":[0.0001752707,0.00003108956,0.003289514,0.000004652682,0.0000192734,3.541407e-7,0.0001995486,0.8641279,0.006250519,0.05177049,0.0002082643,0.0739231],"study_design_scores_gemma":[0.001111651,0.00002652713,0.007407658,0.00002121361,0.00001712552,0.000004589187,0.00008789846,0.8971373,0.001385889,0.06627867,0.02625157,0.0002699312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388119,6.161055e-7,0.7583488,0.0006616775,0.0004932951,0.0007779867,0.0007106269,0.0001283351,0.00006667542],"genre_scores_gemma":[0.9069106,1.59781e-7,0.09192547,0.0001391797,0.0003749164,0.00003809611,0.0005376776,0.00001782573,0.00005607651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6680986,"threshold_uncertainty_score":0.8634336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5331933700793966,"score_gpt":0.4608006661463231,"score_spread":0.07239270393307351,"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."}}