{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001550332,0.0004657879,0.0004326484,0.0001646244,0.0004015883,0.0008700663,0.0001661267,0.0003108667,0.0001161906],"category_scores_gemma":[0.00009463899,0.0004585134,0.00008919066,0.00036997,0.00005409583,0.004186315,0.00001513106,0.0004932031,0.00001929585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003881133,"about_ca_system_score_gemma":0.00008723189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003012383,"about_ca_topic_score_gemma":0.000007059827,"domain_scores_codex":[0.9978026,0.00006465577,0.0007285699,0.0005381929,0.000305798,0.0005602238],"domain_scores_gemma":[0.9987705,0.000181776,0.0001173353,0.0002866498,0.00003725876,0.0006064473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004297964,0.000479585,0.2929495,0.001010071,0.0002909533,0.00007122521,0.001133085,0.02296973,0.6510907,0.00299823,0.001709713,0.02486742],"study_design_scores_gemma":[0.004705719,0.0002604762,0.174548,0.00190761,0.0003308647,0.00002925941,0.0003607992,0.335308,0.4235601,0.02183698,0.03335629,0.003795898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869259,0.0008917676,0.003478196,0.00006382839,0.00006077575,0.0003742292,0.007139268,0.0005724461,0.0004935614],"genre_scores_gemma":[0.9931989,0.0005238039,0.004122159,0.0001105204,0.00007294254,0.00004365906,0.001590809,0.0001411161,0.0001961105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3123383,"threshold_uncertainty_score":0.9997867,"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."}}