{"id":"W2806253503","doi":"10.1155/2018/6986198","title":"Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Queueing theory; Computer science; Queue; Context (archaeology); Consistency (knowledge bases); Real-time computing; Simulation; Computer network; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009437573,0.0005220225,0.0003731548,0.0005196792,0.0002810988,0.0008274624,0.001201936,0.000745712,0.0007734564],"category_scores_gemma":[0.002863987,0.0003427173,0.0006406164,0.0005207197,0.0006852467,0.0009577747,0.0007260989,0.0009425365,0.00009406728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135748,"about_ca_system_score_gemma":0.0009684759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773328,"about_ca_topic_score_gemma":0.01459198,"domain_scores_codex":[0.9997147,0.00008198588,0.00001637492,0.00006192007,0.00005649319,0.0000685449],"domain_scores_gemma":[0.9989291,0.0005302727,0.0002306523,0.0000732668,0.0001814044,0.00005538274],"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":[0.00004078738,0.00002223262,0.002163158,0.0000164745,0.00001043324,0.00004265181,0.00004167097,0.9893692,0.0007824231,0.005494684,0.00009291602,0.001923388],"study_design_scores_gemma":[0.000001204052,0.000004185426,0.000148246,7.917266e-7,0.000001143014,0.000002478638,0.000007367934,0.9994352,0.00007531846,0.0003085193,0.00001358153,0.00000192415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4915331,0.000322099,0.5054431,0.0003030718,0.00003941172,0.00005324194,0.0002882616,0.0002484653,0.00176921],"genre_scores_gemma":[0.9890093,0.00009695692,0.009867462,0.00001666103,0.000008779311,0.00002252793,0.0001359177,0.00001069898,0.00083162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02773328,"threshold_uncertainty_score":0.05514365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374526096357168,"score_gpt":0.2339914484447773,"score_spread":0.2202461874812056,"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."}}