{"id":"W2150806991","doi":"10.1109/csew.2008.52","title":"Creating Emergency Management Training Simulations through Ontologies Integration","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Architecture; Set (abstract data type); Emergency management; Programmer; Training (meteorology); Software engineering; Control (management); Human–computer interaction; Artificial intelligence; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007113691,0.0001010054,0.0001153759,0.0000559463,0.0003173116,0.00003420835,0.0004009248,0.00003545546,0.00008125312],"category_scores_gemma":[0.00007005175,0.00007947118,0.0000478329,0.0002569572,0.0000334469,0.0006565426,0.0001215847,0.00005604858,0.00002771783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000198704,"about_ca_system_score_gemma":0.00001514884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009811229,"about_ca_topic_score_gemma":0.0001225196,"domain_scores_codex":[0.9991288,0.00002775092,0.0002319791,0.0002484259,0.0001591314,0.0002039627],"domain_scores_gemma":[0.9994899,0.00007683384,0.0000571915,0.0003120288,0.00004416886,0.00001985673],"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":[0.000002167965,0.00005721777,0.004667001,0.00001022922,0.00004111778,0.00004521394,0.02796743,0.001879575,0.0002058201,0.8840746,0.001966171,0.07908342],"study_design_scores_gemma":[0.001072673,0.000261775,0.2362173,0.00008358122,0.00004350411,0.0001438385,0.02672185,0.5351975,0.004666972,0.1889454,0.005490976,0.00115469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05140743,0.00006155459,0.8073347,0.0005076393,0.000294855,0.00009592862,2.543436e-7,0.0004321917,0.1398655],"genre_scores_gemma":[0.7316073,0.00007366524,0.2668427,0.00008813135,0.0000226295,0.000007135617,0.000001628193,0.000002502262,0.001354374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6951292,"threshold_uncertainty_score":0.3240741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116706317171083,"score_gpt":0.3135464983136786,"score_spread":0.2018758665965703,"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."}}