{"id":"W2408335752","doi":"10.1002/cpe.3801","title":"A modular distributed simulation‐based architecture for intelligent transportation systems","year":2016,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Visualization; Modular design; Merge (version control); Distributed computing; Network simulation; Simulation; Artificial intelligence","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":[0.001194975,0.0006955708,0.0004995455,0.000714077,0.0005928828,0.00157248,0.001500506,0.0009859378,0.00779147],"category_scores_gemma":[0.001523734,0.000458046,0.0009305571,0.0004195809,0.0007738306,0.001251795,0.001518478,0.000983255,0.001994371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023006,"about_ca_system_score_gemma":0.001368873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002925267,"about_ca_topic_score_gemma":0.002331419,"domain_scores_codex":[0.9995098,0.0001955549,0.0000420803,0.0000800218,0.0001318838,0.00004066185],"domain_scores_gemma":[0.9995498,0.0001188822,0.00003153506,0.0001410312,0.0001036586,0.00005497887],"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":[0.0001484837,0.0001232579,0.001351574,0.0001352623,0.00008933761,0.0001679891,0.0002533653,0.8083353,0.01464829,0.1030664,0.00515499,0.06652567],"study_design_scores_gemma":[0.0000262456,0.00004486277,0.0001336102,0.00002284255,0.00002094957,0.00003884171,0.00001304764,0.9550821,0.003025277,0.01819496,0.02338039,0.00001692686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007152258,0.0001325546,0.978693,0.0002575848,0.00007606789,0.0001635386,0.0001120682,0.006332737,0.007080084],"genre_scores_gemma":[0.3560205,0.0005822108,0.628611,0.0001834333,0.00006730671,0.0007282121,0.0009985757,0.0007439872,0.01206487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00779147,"threshold_uncertainty_score":0.02606505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176512077773375,"score_gpt":0.2822819340177304,"score_spread":0.2646307262403929,"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."}}