{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000768888,0.0005715584,0.0005180793,0.0004106713,0.0006185515,0.001056005,0.00108802,0.001066417,0.003003136],"category_scores_gemma":[0.001709144,0.0004648305,0.0007133703,0.0004673693,0.0006874504,0.0007716877,0.0009642688,0.0008881752,0.0003368582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136562,"about_ca_system_score_gemma":0.001629243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370061,"about_ca_topic_score_gemma":0.01365731,"domain_scores_codex":[0.9997327,0.0001073951,0.00001547423,0.00003453721,0.00008153822,0.00002838394],"domain_scores_gemma":[0.9993184,0.0004007431,0.00004092563,0.00009722752,0.00009629596,0.00004639874],"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":[0.000009735018,0.00001800346,0.0003757462,0.00001410686,0.00000862645,0.00001866904,0.00003804347,0.9919299,0.0009821946,0.003572219,0.00008028158,0.002952492],"study_design_scores_gemma":[0.00001153119,0.000008500167,0.0000519731,0.000002034468,0.000002972425,0.000004432851,0.000008413806,0.9975159,0.0005450033,0.001132758,0.0007140794,0.000002358964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05617515,0.00004350952,0.937753,0.0001120507,0.00002265219,0.0001489131,0.00007743728,0.0009484196,0.004718817],"genre_scores_gemma":[0.5407117,0.0001523133,0.4550629,0.0000373178,0.00001177936,0.0003968691,0.0002555475,0.0001677847,0.003203738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370061,"threshold_uncertainty_score":0.02724171,"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."}}