{"id":"W1526449531","doi":"","title":"A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials","year":2003,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Natural Resources Canada; U.S. Department of Energy","keywords":"Greenhouse gas; Environmental science; Waste management; Methane; NOx; Criteria air contaminants; Particulates; Ozone; Environmental engineering; Engineering; Air pollution; Air pollutants; Chemistry; Combustion","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":[0.001443157,0.001744832,0.0007242578,0.001292816,0.0006148091,0.001837044,0.002691131,0.001365923,0.006795523],"category_scores_gemma":[0.00267887,0.000664239,0.001857194,0.002169122,0.0003312139,0.003148789,0.0009264417,0.001194402,0.003208201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826602,"about_ca_system_score_gemma":0.002819615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627863,"about_ca_topic_score_gemma":0.02250611,"domain_scores_codex":[0.9990889,0.0003100685,0.00007539417,0.0001341449,0.0003230605,0.00006855231],"domain_scores_gemma":[0.9991056,0.0003602133,0.00007923037,0.00009979189,0.0003223786,0.0000326691],"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":[0.0002401238,0.0003370601,0.01115074,0.0008674245,0.0002482341,0.0003179437,0.0002634401,0.6485642,0.002774704,0.108845,0.1018499,0.1245414],"study_design_scores_gemma":[0.0001283382,0.0001157302,0.003987438,0.0002500347,0.0002268309,0.0002196601,0.0001606554,0.669955,0.004618385,0.0499488,0.2702617,0.0001273676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03429322,0.002318632,0.8026774,0.003176263,0.0005008184,0.0008471693,0.07629953,0.009513298,0.07037371],"genre_scores_gemma":[0.3893629,0.004261273,0.4298367,0.001081587,0.0002600093,0.003036183,0.1334586,0.002319687,0.03638316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02627863,"threshold_uncertainty_score":0.05225134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340073361577972,"score_gpt":0.1986505209627934,"score_spread":0.1852497873470136,"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."}}