{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976071,0.0005207103,0.0005254714,0.002708865,0.0009073067,0.003592568,0.001613846,0.00103136,0.00351555],"category_scores_gemma":[0.004595412,0.0004452135,0.001670638,0.002475404,0.001036267,0.003675008,0.002241221,0.001584272,0.0007864854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849431,"about_ca_system_score_gemma":0.002160431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007735461,"about_ca_topic_score_gemma":0.008591271,"domain_scores_codex":[0.9983618,0.0006391455,0.0002666371,0.000126795,0.0005256026,0.00008015698],"domain_scores_gemma":[0.99783,0.0008458475,0.0002243657,0.0005804295,0.0004480577,0.00007135181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000985771,0.0002460624,0.001722476,0.000300445,0.0001548472,0.0006541638,0.001330215,0.2391229,0.005955796,0.6689625,0.006721528,0.07473051],"study_design_scores_gemma":[0.00003417936,0.00002950823,0.0004070108,0.0001843234,0.00007753245,0.0002030743,0.0003026916,0.7667436,0.005445889,0.1423153,0.0842151,0.00004184844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008810165,0.0001310867,0.9770212,0.0004982163,0.00007111241,0.0001884962,0.0009263716,0.001676384,0.01067692],"genre_scores_gemma":[0.2021673,0.0006137866,0.7880832,0.000159558,0.00004017315,0.0005627194,0.004378502,0.0003078953,0.003686886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007735461,"threshold_uncertainty_score":0.01538086,"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."}}