{"id":"W4400081104","doi":"10.3390/logistics8030064","title":"Zero-Emission Heavy-Duty, Long-Haul Trucking: Obstacles and Opportunities for Logistics in North America","year":2024,"lang":"en","type":"article","venue":"Logistics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Greenhouse gas; Truck; Electricity; Diesel fuel; Environmental science; Zero emission; Environmental economics; Automotive engineering; Engineering; Waste management; Economics","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":[0.0000662272,0.0002081409,0.000234048,0.0001231079,0.00005742432,0.0001139972,0.000117771,0.0001278863,0.00001085701],"category_scores_gemma":[0.00009492613,0.0001884122,0.00004178304,0.0002005966,0.0001062815,0.00007299447,0.00003937749,0.0002690571,0.000002170888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007702153,"about_ca_system_score_gemma":0.00004191717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001458102,"about_ca_topic_score_gemma":0.0000317994,"domain_scores_codex":[0.9990388,0.00001270443,0.0002801112,0.0002094973,0.000115525,0.0003433231],"domain_scores_gemma":[0.9994631,0.0002194965,0.00002448226,0.0001539738,0.00003602551,0.0001029233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000725399,0.00005335378,0.009128409,0.002776033,0.0001357897,0.0006858477,0.001056282,0.1413321,0.0007286862,0.02103378,0.05367444,0.7693227],"study_design_scores_gemma":[0.0004480966,0.0003015782,0.005113087,0.0002048106,0.00009203953,0.0000631658,0.0003193625,0.7632015,0.000696278,0.01628854,0.2125341,0.00073749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09960128,0.01314185,0.8812512,0.0005156563,0.001102109,0.0004614093,0.0004060295,0.0007648614,0.002755579],"genre_scores_gemma":[0.9933532,0.00284071,0.00297491,0.0001369201,0.0001675684,0.00001434037,0.00009994503,0.00005116856,0.0003612147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937519,"threshold_uncertainty_score":0.7683226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039998322623823,"score_gpt":0.248406549652549,"score_spread":0.208408227028726,"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."}}