{"id":"W2895960566","doi":"10.1504/ijspm.2018.10016924","title":"<SUP align=\"right\">DEVS</SUP>Server: ambient intelligence and DEVS modelling-based simulation server for epidemic modelling","year":2018,"lang":"en","type":"article","venue":"International Journal of Simulation and Process Modelling","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"DEVS; Computer science; Operating system; Computer network; Modeling and simulation; Simulation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030379,0.0003670765,0.0005206355,0.0008382217,0.0004734331,0.0006062542,0.0008099604,0.0002487656,0.0001131166],"category_scores_gemma":[0.000421303,0.0003168462,0.0002425326,0.000532397,0.0001847157,0.00156807,0.0000874233,0.0002677384,0.00001374832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263428,"about_ca_system_score_gemma":0.0001814998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789929,"about_ca_topic_score_gemma":0.000007204706,"domain_scores_codex":[0.9947513,0.0001182935,0.002222956,0.000695665,0.001865602,0.0003461711],"domain_scores_gemma":[0.9894211,0.002519797,0.001448159,0.0003420866,0.006002787,0.0002661005],"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":[0.0004003166,0.00008310653,0.0003640655,0.00002280776,0.00005203437,0.000001672715,0.000845888,0.985382,0.00003346315,0.005105795,0.00002708164,0.007681757],"study_design_scores_gemma":[0.0006666369,0.0001398964,0.00001274733,0.0001735657,0.00004974933,0.000008630656,0.00009989605,0.8494983,0.0009261646,0.1436152,0.00450878,0.0003003896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2325973,0.0002856391,0.7657871,0.0005598983,0.0001872882,0.0004188975,0.00002966775,0.00005042628,0.00008374943],"genre_scores_gemma":[0.9618003,0.0001212973,0.03682886,0.0004445373,0.0005752299,0.00002133996,0.00003061723,0.00004310588,0.0001346609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.729203,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1869068191126321,"score_gpt":0.4336101067207292,"score_spread":0.2467032876080971,"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."}}