{"id":"W4412845438","doi":"10.1155/atr/6668589","title":"Logistics Distribution Path Optimization Considering Carbon Emissions and Multifuel‐Type Vehicles","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Path (computing); Distribution (mathematics); Carbon fibers; Environmental science; Transport engineering; Automotive engineering; Computer science; Engineering; Mathematics; Algorithm","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":[0.0004917882,0.001001859,0.0007061219,0.0007177845,0.0005325972,0.0009651778,0.0006769,0.00095357,0.001876686],"category_scores_gemma":[0.0007822776,0.0004621875,0.0008697971,0.001025588,0.0003882748,0.0010031,0.0006335268,0.0006044492,0.0001066207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635833,"about_ca_system_score_gemma":0.001869267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01792214,"about_ca_topic_score_gemma":0.009635586,"domain_scores_codex":[0.9997695,0.00008265984,0.000005619823,0.000045139,0.0000332626,0.00006379914],"domain_scores_gemma":[0.9997562,0.0001346351,0.00003646833,0.000008550905,0.00004409849,0.00002012133],"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":[0.00001369659,0.000009601662,0.0002128101,0.00001727958,0.000009896405,0.00002803373,0.000006910874,0.9953107,0.0003243073,0.001571425,0.0001195896,0.002375729],"study_design_scores_gemma":[0.000005435703,0.00001659487,0.000112312,0.000002145024,0.000006525283,0.000008860219,0.0000176968,0.9976898,0.0002090225,0.001675257,0.0002525425,0.000003678037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540631,0.0009181655,0.7329409,0.0006470361,0.00008269015,0.0001049977,0.0003214138,0.0002150208,0.01070653],"genre_scores_gemma":[0.9362568,0.0005619702,0.0571919,0.00004589681,0.00001286784,0.0000902943,0.0001951537,0.00005165359,0.005593508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01792214,"threshold_uncertainty_score":0.03563565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189895898198604,"score_gpt":0.2693034358198958,"score_spread":0.2574044768379097,"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."}}