{"id":"W4292829946","doi":"10.23919/annsim55834.2022.9859291","title":"Enabling Collaborative Modeling Through A Web Library of DEVS Models","year":2022,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; DEVS; Domain (mathematical analysis); Process (computing); Process modeling; Software engineering; Modeling and simulation; Systems engineering; Data science; Work in process; Engineering; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005283679,0.00007055856,0.0001628508,0.000152357,0.0002813223,0.00007896817,0.0005399537,0.0000245416,0.002718525],"category_scores_gemma":[0.00007917277,0.00005669999,0.00006467553,0.001989134,0.00002724802,0.0008187674,0.0003751415,0.00009314231,0.00001206352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522025,"about_ca_system_score_gemma":0.0001939661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214483,"about_ca_topic_score_gemma":0.000001740586,"domain_scores_codex":[0.9982443,0.00009201292,0.0005201969,0.0002782313,0.0007560188,0.0001092814],"domain_scores_gemma":[0.9988035,0.0003991338,0.0001520585,0.0004073498,0.0002053006,0.00003265003],"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":[0.00001090181,0.00003644253,0.00006638165,6.301474e-7,0.000003688074,2.749501e-7,0.0007697537,0.7271945,0.000412093,0.2636039,0.006136913,0.001764515],"study_design_scores_gemma":[0.00007607522,0.00001717177,8.952667e-7,0.000001005132,0.00000164267,4.776868e-7,0.003313038,0.6401619,0.00134958,0.3365462,0.01848357,0.00004850212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09668675,0.0002159503,0.7567849,0.001610833,0.00004698634,0.0003993156,0.0001127981,0.0002213908,0.1439211],"genre_scores_gemma":[0.9516559,0.00002158338,0.04494117,0.0004788974,0.00001583284,0.00009243663,0.00000771866,0.000009648556,0.002776876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8549691,"threshold_uncertainty_score":0.9981931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031438950854526,"score_gpt":0.4078709046565336,"score_spread":0.204727009571081,"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."}}