{"id":"W4399649566","doi":"10.1039/d4su00112e","title":"Future material demand and greenhouse gas emissions implications for electrification of the UK light-duty vehicle fleet","year":2024,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Saudi Aramco","keywords":"Electrification; Greenhouse gas; Environmental science; Duty; Natural resource economics; Automotive engineering; Environmental economics; Engineering; Economics; Electricity; Electrical engineering; Political science; Oceanography","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":[0.0003434391,0.0003481015,0.0002792072,0.0003736127,0.0002933759,0.001344441,0.0004220644,0.00175214,0.02304728],"category_scores_gemma":[0.001085188,0.0002161789,0.0003592053,0.0006809027,0.0003712515,0.002099223,0.0006792995,0.0009584986,0.002582694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702717,"about_ca_system_score_gemma":0.000933868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04744588,"about_ca_topic_score_gemma":0.06918501,"domain_scores_codex":[0.9997595,0.00004876919,0.00001115814,0.00002993691,0.00007274375,0.00007789876],"domain_scores_gemma":[0.9995356,0.0001607143,0.00005643213,0.00001394155,0.0001703814,0.0000628995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005113408,0.0005313914,0.1318051,0.003260983,0.0001964448,0.008572947,0.005475771,0.277745,0.09155045,0.1467067,0.1359767,0.1930651],"study_design_scores_gemma":[0.0001601067,0.00112777,0.4076603,0.001230491,0.0001756417,0.001243077,0.03588403,0.1799516,0.01513833,0.09379569,0.2630769,0.0005559599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892165,0.003183418,0.003439139,0.03172192,0.0003870552,0.00001537129,0.01071057,0.00006936804,0.0612567],"genre_scores_gemma":[0.9800768,0.001577424,0.0004441514,0.0005515363,0.00004810478,0.00001998116,0.001819712,0.00002029539,0.01544191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04744588,"threshold_uncertainty_score":0.09433943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003932169966278705,"score_gpt":0.2232091073693692,"score_spread":0.2192769374030905,"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."}}