{"id":"W3147932422","doi":"10.1109/wsc.2010.5678991","title":"Rise: Rest-ing heterogeneous simulations interoperability","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interoperability; DEVS; Computer science; Synchronization (alternating current); Modeling and simulation; High-level architecture; Domain (mathematical analysis); Distributed computing; Discrete event simulation; Software engineering; Web service; Simulation modeling; Simulation; World Wide Web; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005539408,0.001104769,0.001052928,0.0008012002,0.001255687,0.003448435,0.003567855,0.001891758,0.004849752],"category_scores_gemma":[0.009517414,0.0008831965,0.002067304,0.0005610275,0.002047542,0.004674522,0.00829181,0.003005874,0.001791836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009225365,"about_ca_system_score_gemma":0.001458853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835323,"about_ca_topic_score_gemma":0.002038813,"domain_scores_codex":[0.9964557,0.001563093,0.000332938,0.0004178233,0.0008939366,0.0003364725],"domain_scores_gemma":[0.9946569,0.001463207,0.0001768068,0.002955386,0.0004596346,0.0002881952],"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":[0.001006601,0.0003613526,0.003335689,0.0003644282,0.0004243129,0.001139439,0.001100831,0.3538948,0.01943934,0.4680255,0.02268606,0.1282216],"study_design_scores_gemma":[0.0001441175,0.00008082463,0.0003266014,0.00006099381,0.00006610203,0.0001496294,0.00007643046,0.8009676,0.01731332,0.132513,0.0482333,0.00006812091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005666603,0.00007481517,0.974592,0.0002762862,0.00007239333,0.0001160067,0.000157062,0.01371202,0.005332801],"genre_scores_gemma":[0.4008325,0.0005129852,0.5776117,0.0008295834,0.0001563495,0.0009369748,0.003214274,0.006109234,0.009796243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005539408,"threshold_uncertainty_score":0.0292955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058962546952582,"score_gpt":0.3893107020122039,"score_spread":0.2834144473169457,"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."}}