{"id":"W1584361918","doi":"","title":"Ontology–based Representation of Simulation Models","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Computer science; Ontology; Ontology-based data integration; Ontology Inference Layer; Upper ontology; Process ontology; Information retrieval; Semantics (computer science); Domain (mathematical analysis); OWL-S; Knowledge representation and reasoning; Representation (politics); Semantic Web; Semantic Web Stack; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003036547,0.0001749007,0.0002705356,0.0003898486,0.0001117028,0.00007935076,0.0009221784,0.0001589016,0.000005653128],"category_scores_gemma":[0.00005937072,0.0001884102,0.0001144854,0.0005557319,0.00008499966,0.004284749,0.0002681688,0.0001821791,0.00003810433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008299907,"about_ca_system_score_gemma":0.00005998324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007310459,"about_ca_topic_score_gemma":0.0001362176,"domain_scores_codex":[0.9984424,0.0002600249,0.0002401235,0.0003493019,0.0003240624,0.0003841153],"domain_scores_gemma":[0.9984894,0.000272962,0.0002360493,0.0006981886,0.0001626969,0.0001406756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003551241,0.0001064556,0.9804152,0.00002340443,0.00002388989,0.00001747914,0.0005491596,0.014228,0.0004374551,0.002979013,2.784911e-7,0.001184171],"study_design_scores_gemma":[0.0008097699,0.00007850632,0.9868387,0.00005111265,0.00004205947,0.000008090097,0.0001287337,0.001880769,0.008630894,0.001121548,0.0001440162,0.0002657886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169405,0.00005781309,0.3822134,0.0001030341,0.0002033996,0.0001105326,0.000001868077,0.0001264697,0.0002430037],"genre_scores_gemma":[0.9974415,0.000006001607,0.002009539,0.0001523499,0.00003945837,6.139074e-7,0.000006256817,0.000009949583,0.0003343389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.380501,"threshold_uncertainty_score":0.7683145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2100729878086409,"score_gpt":0.3605990690180412,"score_spread":0.1505260812094003,"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."}}