{"id":"W2005283161","doi":"10.1109/pads.2012.28","title":"Offline Road Network Partitioning in Distributed Transportation Simulation","year":2012,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graph partition; Graph; Flow network; Distributed computing; Graph theory; Space partitioning; Intelligent transportation system; Theoretical computer science; Algorithm; Mathematical optimization; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006459579,0.0006332111,0.0006005084,0.0003826197,0.0004750137,0.0007777876,0.001038321,0.0005786713,0.002903526],"category_scores_gemma":[0.002000122,0.0003857162,0.0004863388,0.0003708012,0.0006085464,0.001425105,0.0009530903,0.0009079887,0.0003978047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008088359,"about_ca_system_score_gemma":0.0009758534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329267,"about_ca_topic_score_gemma":0.006321157,"domain_scores_codex":[0.9992903,0.0003446543,0.00003338901,0.00009485301,0.0001578496,0.00007894308],"domain_scores_gemma":[0.9986804,0.0007473872,0.00007764775,0.0002810525,0.0001519863,0.0000615106],"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":[0.00005353413,0.00002533584,0.0004333509,0.00002225766,0.000009477104,0.00003413983,0.00004270881,0.9755146,0.002235112,0.006970949,0.0003217471,0.01433686],"study_design_scores_gemma":[0.000009329108,0.00001687465,0.00006614953,0.00000292045,0.000002756183,0.000008781891,0.00001379125,0.9948859,0.001417538,0.00261432,0.0009584938,0.000003110179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0540371,0.0001121267,0.9379175,0.00009427508,0.00002809997,0.00008799606,0.00009832438,0.001007447,0.006617194],"genre_scores_gemma":[0.6967654,0.0001592522,0.2992963,0.00006149266,0.00001681788,0.0002103802,0.0002830279,0.0003183356,0.002889053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006329267,"threshold_uncertainty_score":0.01258487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406786841599637,"score_gpt":0.2359193616143783,"score_spread":0.221851493198382,"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."}}