{"id":"W2725057776","doi":"10.1002/9781119288091.ch2","title":"An Index to the Body of Knowledge of Simulation Systems Engineering","year":2017,"lang":"en","type":"other","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ontology; Index (typography); Computer science; Ontology engineering; Representation (politics); Entertainment; Process (computing); Knowledge representation and reasoning; Data science; Information retrieval; Process ontology; World Wide Web; Artificial intelligence; Epistemology; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003030083,0.0008795807,0.001113899,0.02135974,0.002651674,0.01357013,0.001757997,0.002479045,0.04825059],"category_scores_gemma":[0.01740228,0.0005207054,0.0007173762,0.03661505,0.002744599,0.01997435,0.006092394,0.003318506,0.02443473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004518299,"about_ca_system_score_gemma":0.006752363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00424913,"about_ca_topic_score_gemma":0.005644001,"domain_scores_codex":[0.9959342,0.0007481561,0.0007501373,0.0003559046,0.00202803,0.0001834971],"domain_scores_gemma":[0.9894994,0.004559967,0.0006020307,0.00173015,0.002995063,0.0006134014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003044309,0.00008038904,0.0004204211,0.001369789,0.00001682331,0.0001413001,0.001278074,0.0008117465,0.0008020079,0.2712455,0.3154799,0.4083235],"study_design_scores_gemma":[0.000001426352,0.000004064241,0.0001723738,0.0005649369,0.000003496225,0.0001004083,0.0002095607,0.0002235262,0.0001259272,0.02048274,0.9781038,0.000007912102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002425842,0.05925351,0.1107515,0.01935934,0.01045199,0.0004471114,0.008234316,0.002452777,0.7866237],"genre_scores_gemma":[0.04476954,0.1828501,0.2208468,0.01283155,0.01456718,0.001173597,0.04147035,0.004662452,0.4768284],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04825059,"threshold_uncertainty_score":0.1614143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08638512159214438,"score_gpt":0.4432065784660046,"score_spread":0.3568214568738602,"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."}}