{"id":"W4297576832","doi":"10.1007/978-3-030-38948-2_107-1","title":"Zero-Emission Delivery for Logistics and Transportation","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zero emission; Truck; Renewable energy; Engineering; Ground zero; Greenhouse gas; Fossil fuel; Transport engineering; Automotive engineering; Electrical engineering; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002249251,0.001058775,0.0003372432,0.0008142328,0.000999475,0.002396267,0.0008374366,0.001510102,0.06197587],"category_scores_gemma":[0.0004018504,0.0003243619,0.0003162436,0.001074684,0.0008969308,0.002941799,0.001194245,0.001982491,0.02320937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504578,"about_ca_system_score_gemma":0.001049925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002684002,"about_ca_topic_score_gemma":0.006189871,"domain_scores_codex":[0.9997744,0.00002994178,0.000005929092,0.00002840517,0.0001406515,0.00002072269],"domain_scores_gemma":[0.9999168,0.00003219437,0.000004319897,0.0000132134,0.00002891215,0.000004585189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001349621,0.00005165274,0.00004808728,0.0002908423,0.000004324068,0.00007986352,0.0002410899,0.001228269,0.00142272,0.5410365,0.2632545,0.1923287],"study_design_scores_gemma":[0.000001252188,0.000009482734,0.0000713768,0.0001245152,0.000002334965,0.00009743314,0.00007309176,0.0004791861,0.000586869,0.03955333,0.9589964,0.000004780383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005530757,0.01019889,0.01976301,0.00146153,0.001479199,0.00003275531,0.0001164184,0.0001851389,0.96621],"genre_scores_gemma":[0.004073855,0.007953688,0.003244993,0.0004494476,0.0002182166,0.00002220756,0.00008278895,0.0001681269,0.9837866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06197587,"threshold_uncertainty_score":0.2073299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009716796789467413,"score_gpt":0.187632870162059,"score_spread":0.1779160733725916,"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."}}