{"id":"W4367626136","doi":"10.3390/app13095545","title":"A New Macroscopic Traffic Flow Characterization Incorporating Traffic Emissions","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Hail","keywords":"Traffic congestion reconstruction with Kerner's three-phase theory; Traffic flow (computer networking); Traffic congestion; Traffic bottleneck; Greenhouse gas; Traffic generation model; Environmental science; Presumption; Traffic optimization; Computer science; Transport engineering; Floating car data; Engineering; Real-time computing; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001999076,0.0001210733,0.0001213114,0.0001505386,0.0002926968,0.0001150072,0.0002224605,0.00003768898,0.00006906064],"category_scores_gemma":[0.000006435685,0.0001082267,0.000028256,0.001032303,0.00004483049,0.0001087985,0.00003429787,0.00007214565,0.0002017249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867817,"about_ca_system_score_gemma":0.00004118407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001346378,"about_ca_topic_score_gemma":0.00001631547,"domain_scores_codex":[0.9990883,0.000006062923,0.0001774828,0.000226191,0.000215968,0.0002859483],"domain_scores_gemma":[0.9997273,0.00003011292,0.0000280197,0.0001119295,0.000005843852,0.00009680795],"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":[0.000001101993,0.000004733736,0.000005146635,0.00001623572,0.000005989584,0.000001733983,0.0004018935,0.6057771,0.02969423,0.0007242916,0.001735594,0.361632],"study_design_scores_gemma":[0.0004345312,0.00003046593,0.004352545,0.00003142052,0.00001501485,0.000001139597,0.0004901505,0.9816208,0.0005447072,0.0001451658,0.01204075,0.000293311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795818,0.0000336436,0.0112218,0.0003805752,0.0006485181,0.0003384417,0.000005761708,0.002142571,0.005646888],"genre_scores_gemma":[0.9968098,0.00001813486,0.002441049,0.00004538689,0.0001260471,0.00003972586,0.00002725524,0.00001342797,0.0004792161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3758437,"threshold_uncertainty_score":0.4413356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311851448749692,"score_gpt":0.2208180810696284,"score_spread":0.2076995665821315,"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."}}