{"id":"W3106847875","doi":"10.1155/2020/8897325","title":"Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Beijing; Transport engineering; Global Positioning System; Traffic congestion; Floating car data; Computer science; Diagram; Traffic congestion reconstruction with Kerner's three-phase theory; Engineering; Geography; Telecommunications","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":[0.0002106817,0.00036766,0.0004905463,0.0005134468,0.0002352971,0.000520492,0.000720838,0.0004237153,0.0006575832],"category_scores_gemma":[0.0008673684,0.0001936038,0.0004850051,0.0004844596,0.0002059253,0.0008905097,0.000345064,0.0004400837,0.000134668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005950281,"about_ca_system_score_gemma":0.0006872905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04339428,"about_ca_topic_score_gemma":0.02044851,"domain_scores_codex":[0.9998388,0.00002377639,0.000007506817,0.00005625879,0.00004690616,0.00002666324],"domain_scores_gemma":[0.9998506,0.00004122897,0.00002377237,0.00001181327,0.00005709214,0.00001550507],"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":[0.00004315402,0.00002741752,0.007187866,0.00002500518,0.00001822757,0.00006925729,0.00003730629,0.9497386,0.001936755,0.00233231,0.0006557027,0.03792844],"study_design_scores_gemma":[0.000001074246,0.000003755859,0.0004701348,6.793421e-7,0.000001630991,0.000004401383,0.000003042043,0.9991685,0.000103532,0.0001905335,0.00005076439,0.00000188164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3986439,0.0003034782,0.5959218,0.0002430544,0.0000814693,0.00003869403,0.0003724145,0.0007395936,0.003655633],"genre_scores_gemma":[0.9853462,0.0001024752,0.01351673,0.00001173249,0.00001176969,0.00001696888,0.0001948265,0.00001520029,0.0007841383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04339428,"threshold_uncertainty_score":0.08628339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677351460929797,"score_gpt":0.2113503034011073,"score_spread":0.1945767887918093,"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."}}