{"id":"W2417212667","doi":"10.1021/acs.est.5b01655","title":"Life Cycle Assessment of Vehicle Lightweighting: Novel Mathematical Methods to Estimate Use-Phase Fuel Consumption","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ford Motor Company; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Fuel efficiency; Automotive engineering; Powertrain; Life-cycle assessment; Greenhouse gas; Driving cycle; Consumption (sociology); Environmental science; Dynamometer; Axle; Phase (matter); Computer science; Production (economics); Engineering; Mechanical engineering; Electric vehicle; Chemistry; Power (physics)","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":[0.00154352,0.001282977,0.0004560396,0.001875652,0.0002998907,0.0007652515,0.00107237,0.000681089,0.00125604],"category_scores_gemma":[0.003904451,0.0004771857,0.001202218,0.0008812887,0.0005839045,0.001545655,0.0008108465,0.0008251238,0.0003230035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405746,"about_ca_system_score_gemma":0.0009240311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006746606,"about_ca_topic_score_gemma":0.004573063,"domain_scores_codex":[0.9994692,0.0001780863,0.00003210058,0.00008880479,0.0002001293,0.00003163698],"domain_scores_gemma":[0.9986487,0.0007267235,0.0002995721,0.000108549,0.0001966456,0.00001979944],"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":[0.00001059711,0.00002395225,0.002043586,0.00006872804,0.00003630355,0.00001900758,0.0000331532,0.9634032,0.00267168,0.008965554,0.0002212819,0.02250286],"study_design_scores_gemma":[0.000001247813,0.00001354004,0.000478762,0.000009296607,0.000007423255,0.00001215231,0.000009544001,0.9935457,0.001071451,0.004111715,0.0007306109,0.000008419411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01225857,0.0002697201,0.9854447,0.00007615289,0.000008737122,0.00004626736,0.0001566051,0.000119281,0.001620056],"genre_scores_gemma":[0.7081559,0.001539924,0.2828448,0.0001013506,0.00006492945,0.000809709,0.0007973441,0.0002186438,0.005467355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006746606,"threshold_uncertainty_score":0.01341468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450787640178311,"score_gpt":0.3609973091457265,"score_spread":0.3264894327439434,"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."}}