{"id":"W4282933359","doi":"10.1016/j.resconrec.2022.106440","title":"Vehicle fleet electrification and its effects on the global warming potential of highway pavements in the United States","year":2022,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrification; Global warming; Global-warming potential; Transport engineering; Sustainable transport; Electric vehicle; Sustainable development; Environmental science; Climate change; Engineering; Electricity; Sustainability; Greenhouse gas","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":[0.0002567346,0.0001740201,0.00008816535,0.0005877026,0.0002475796,0.0006205004,0.0001983958,0.0003152328,0.001473225],"category_scores_gemma":[0.0006176974,0.00008155665,0.0003065144,0.001170686,0.0002704768,0.0005227821,0.0004817597,0.0003646631,0.0001058755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179975,"about_ca_system_score_gemma":0.000745389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1634432,"about_ca_topic_score_gemma":0.2816368,"domain_scores_codex":[0.9998496,0.00005277012,0.000007710025,0.00002018321,0.00003136995,0.00003836528],"domain_scores_gemma":[0.9996033,0.00009011752,0.0001182261,0.00001725489,0.0001173766,0.00005375479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004057178,0.0001696772,0.9472561,0.00009946166,0.0002532277,0.0003834848,0.0005179213,0.01417173,0.001454864,0.002559461,0.004881516,0.02784691],"study_design_scores_gemma":[0.00000621363,0.00006212034,0.9893799,0.00003343868,0.00005989154,0.00005089793,0.00156698,0.00277166,0.000402625,0.000551586,0.005105403,0.000009265914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903677,0.0009480451,0.0001392989,0.001312951,0.00003536184,0.000004236432,0.001815159,0.000009055449,0.00536815],"genre_scores_gemma":[0.9981668,0.0005335827,0.00006216493,0.00006302044,0.00001153681,0.000002560346,0.0003621968,0.000002411502,0.0007956484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634432,"threshold_uncertainty_score":0.3249837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796716489927264,"score_gpt":0.2048796108871647,"score_spread":0.1969124459878921,"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."}}