{"id":"W4306250556","doi":"10.1016/j.jclepro.2022.134669","title":"Contribution of potential clean trucks in carbon peak pathway of road freight based on scenario analysis: A case study of China","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Truck; Greenhouse gas; Environmental science; Population; Engineering; Transport engineering; Diesel fuel; Environmental engineering; Waste management; Automotive engineering; Environmental health","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":[0.0009652587,0.0001037028,0.0003989525,0.0006960986,0.00004616607,0.000004074813,0.00009745154,0.00003772652,0.0000380507],"category_scores_gemma":[0.00004339173,0.00009226919,0.0001334002,0.0007454653,0.00001769269,0.000101865,0.00001815556,0.0003822008,4.682742e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161511,"about_ca_system_score_gemma":0.00004473386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003507633,"about_ca_topic_score_gemma":0.0001615661,"domain_scores_codex":[0.9983952,0.000155406,0.0007857358,0.0001164193,0.0004333258,0.0001139281],"domain_scores_gemma":[0.9990626,0.000009177835,0.0004978291,0.0002180726,0.0001728397,0.0000394951],"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":[0.0004219626,0.0007195001,0.01603425,0.00004731951,0.0001626799,0.0001208455,0.001454296,0.9579358,0.01511815,0.000001413353,0.00002037199,0.00796344],"study_design_scores_gemma":[0.003715215,0.003414967,0.2294209,0.0001232745,0.0006246936,0.0007056227,0.007088562,0.7040545,0.05050429,0.00001917375,0.00009296818,0.0002358516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991435,0.00008766518,0.0001184091,0.00004529209,0.0003701821,0.0001708127,0.00000796302,0.000007491356,0.00004868956],"genre_scores_gemma":[0.9998031,0.0000101382,0.00003175851,0.000001563681,0.0001222541,0.000003079123,0.000003817945,0.00001172313,0.00001262119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538813,"threshold_uncertainty_score":0.3762628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006612479240915167,"score_gpt":0.2136477993083669,"score_spread":0.2070353200674518,"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."}}