{"id":"W7011193143","doi":"","title":"Life Cycle Greenhouse Gas Emissions of Conventional and Alternative Heavy-duty Trucks: Literature Review and Harmonization","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Greenhouse gas; Harmonization; Life-cycle assessment; Truck; Impact assessment","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.005332673,0.0008088127,0.001475534,0.01118793,0.0005699342,0.002533867,0.000940865,0.0009369825,0.001403595],"category_scores_gemma":[0.008037836,0.0005812376,0.001605802,0.01500648,0.0005836639,0.002437758,0.0009460404,0.0009695765,0.0004183452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002570551,"about_ca_system_score_gemma":0.01043243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012329,"about_ca_topic_score_gemma":0.02061078,"domain_scores_codex":[0.9974158,0.0006744605,0.0004796424,0.0003426598,0.0009659354,0.0001215249],"domain_scores_gemma":[0.9916644,0.003736523,0.00119512,0.0001626617,0.003153076,0.00008823493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001526533,0.0001449078,0.004604038,0.1766442,0.0009111117,0.000379777,0.001681375,0.003639885,0.002350782,0.01167796,0.01808372,0.7797296],"study_design_scores_gemma":[0.00003156649,0.0004128087,0.02549933,0.2066718,0.003882686,0.0008248186,0.005107095,0.001930327,0.004536568,0.006861049,0.7441124,0.0001294641],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00456824,0.9879043,0.001189919,0.001409841,0.0001846768,0.00009516286,0.0004180782,0.00001128023,0.004218618],"genre_scores_gemma":[0.02017775,0.976989,0.001248451,0.0003789725,0.00009033929,0.00008463879,0.0004818911,0.000007797815,0.0005411391],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.012329,"threshold_uncertainty_score":0.02820224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122246082646529,"score_gpt":0.2927877489762955,"score_spread":0.2805631407116426,"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."}}