{"id":"W3002491480","doi":"","title":"Energy consumption and GHG emissions evaluation of conventional and battery-electric refuse collection trucks","year":2019,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Battery (electricity); Waste management; Greenhouse gas; Energy consumption; Environmental science; Consumption (sociology); Engineering; Automotive engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003484147,0.0004229937,0.0003696233,0.0008535462,0.0003499984,0.0004064295,0.0004223899,0.00040776,0.002609252],"category_scores_gemma":[0.0002950741,0.0001428253,0.0006101304,0.001091732,0.0001754919,0.000554118,0.0002768885,0.0002633126,0.0005923812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006409312,"about_ca_system_score_gemma":0.0003075618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009571849,"about_ca_topic_score_gemma":0.01930666,"domain_scores_codex":[0.999703,0.00003025858,0.00001709096,0.00005574658,0.0001524578,0.0000415313],"domain_scores_gemma":[0.9997975,0.00004369016,0.00002228725,0.00001413475,0.0001114958,0.0000109224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01014005,0.002470883,0.1905489,0.002813139,0.0004082568,0.001800422,0.0007711965,0.1127646,0.481023,0.002110836,0.003960804,0.1911878],"study_design_scores_gemma":[0.0001881189,0.007796868,0.3268807,0.0001695152,0.0003918253,0.0005203084,0.003244237,0.1048172,0.5313401,0.001242836,0.02322484,0.000183484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948543,0.0001996639,0.0008984801,0.00001235458,0.00000778851,0.00004793479,0.0008248652,0.00001610719,0.003138535],"genre_scores_gemma":[0.9911369,0.0003687429,0.001363965,0.00001659553,0.000002158799,0.00006769996,0.001548566,0.00001977168,0.005475575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9904281,"threshold_uncertainty_score":0.0190323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721763635312492,"score_gpt":0.2588410219213471,"score_spread":0.2416233855682221,"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."}}