{"id":"W4412360405","doi":"10.1155/atr/8640594","title":"Impact of Electric Vehicles on Traffic Assignment and Carbon Emission for Road Network: Modeling and Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Changsha Science and Technology Project; Science and Technology Program of Hunan Province","keywords":"Transport engineering; Road traffic; Computer science; Environmental science; Automotive engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001245083,0.00008289602,0.0002169299,0.0002067538,0.00003388095,0.000006070614,0.00002571079,0.00004294675,8.591754e-7],"category_scores_gemma":[0.000004477695,0.00006617639,0.0000945916,0.0003225594,0.000004622076,0.00009359632,4.950785e-7,0.00009331107,4.16855e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003763175,"about_ca_system_score_gemma":0.00002081189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000257925,"about_ca_topic_score_gemma":0.000003004716,"domain_scores_codex":[0.9994142,0.000006212571,0.0003262131,0.00006514834,0.00008681267,0.0001014014],"domain_scores_gemma":[0.9997281,0.00003384754,0.00009301579,0.00003904186,0.00005971163,0.00004623917],"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":[0.0001689467,0.00001427714,0.006715939,0.00005330791,0.0001778378,5.23044e-7,0.0001429411,0.9007751,0.01968018,0.000003731543,0.000003740758,0.07226346],"study_design_scores_gemma":[0.0005641567,0.0002108472,0.1610273,0.0001327757,0.0002318076,5.517633e-7,0.00003214237,0.8360628,0.001611434,0.00006500815,0.000006668236,0.00005454928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776602,0.001495807,0.02069057,0.00001280632,0.00003983527,0.00007582304,0.000003715356,0.000008296801,0.00001288446],"genre_scores_gemma":[0.9976674,0.001165836,0.001121324,0.000002572383,0.00002350339,0.000002168719,0.000005535616,0.000006684444,0.000004959514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1543113,"threshold_uncertainty_score":0.2698595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007066116559136343,"score_gpt":0.2563982114442623,"score_spread":0.2493320948851259,"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."}}