{"id":"W3156995369","doi":"10.24908/iqurcp.11651","title":"DEVS OS (Discrete Even Visualization and Simulation Operating System)","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Visualization; Computer science; Scheduling (production processes); Discrete event simulation; Distributed computing; Operating system; Real-time computing; Simulation; Modeling and simulation; Engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009654114,0.0005367655,0.0003444866,0.0004609599,0.0002618496,0.001075268,0.001228038,0.000437879,0.02312508],"category_scores_gemma":[0.002848023,0.0003599689,0.0005754113,0.0003326804,0.0004071158,0.0008984306,0.001165073,0.001742418,0.003296504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776573,"about_ca_system_score_gemma":0.001090004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838469,"about_ca_topic_score_gemma":0.001631727,"domain_scores_codex":[0.9996647,0.00008516354,0.0000262049,0.00005138971,0.0001351838,0.00003743451],"domain_scores_gemma":[0.9988242,0.0005961848,0.00006011556,0.0002278786,0.0001707295,0.0001208956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001232945,0.0004730711,0.007146479,0.00131033,0.0001480413,0.000573314,0.001515254,0.141632,0.04631501,0.1876061,0.1929755,0.4190721],"study_design_scores_gemma":[0.0004017952,0.0002570989,0.002001336,0.0001716407,0.0000447649,0.0003352511,0.0001112423,0.5120276,0.04014471,0.04096197,0.4034639,0.00007866223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01871745,0.0003369559,0.8561077,0.0005990303,0.0003888107,0.0003221939,0.003911204,0.08654916,0.03306748],"genre_scores_gemma":[0.2675476,0.001135169,0.6801223,0.0003410238,0.00009575064,0.0009919875,0.007256334,0.011953,0.030557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02312508,"threshold_uncertainty_score":0.07736111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0908250985672556,"score_gpt":0.3902071549433199,"score_spread":0.2993820563760643,"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."}}