{"id":"W2156705739","doi":"10.5539/eer.v3n1p33","title":"A Simple and Objective Carbon Footprint Analysis for Alternative Transportation Technologies","year":2012,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Miles per gallon gasoline equivalent; Gasoline; Internal combustion engine; Green vehicle; Hydrogen vehicle; Combustion; Carbon footprint; Automotive engineering; Battery (electricity); Environmental science; Electricity; Fossil fuel; Battery electric vehicle; Carbon dioxide; Fuel efficiency; Carbon fibers; Hydrogen fuel; Fuel cells; Computer science; Greenhouse gas; Waste management; Engineering; Chemistry; Power (physics); Chemical engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007200341,0.001145285,0.0008467872,0.003953011,0.0005302151,0.0009116716,0.0005257988,0.0004513934,0.006444947],"category_scores_gemma":[0.001474013,0.0002226619,0.0009371606,0.003095382,0.0003095227,0.001001192,0.0006319628,0.0004421086,0.0009079298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007726413,"about_ca_system_score_gemma":0.0007090346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003784293,"about_ca_topic_score_gemma":0.00705866,"domain_scores_codex":[0.998741,0.0002365358,0.00003812389,0.00009348575,0.0008341963,0.00005667343],"domain_scores_gemma":[0.9992083,0.0002928273,0.00006971953,0.00007444587,0.0003385794,0.0000163252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006435036,0.0005251504,0.03952605,0.001420397,0.0005339721,0.0002718613,0.0001552755,0.1552981,0.0984056,0.01252371,0.003987656,0.6867087],"study_design_scores_gemma":[0.000142951,0.001956254,0.1404972,0.0002888581,0.0003429984,0.0006997393,0.0007398195,0.5809888,0.2036376,0.0263965,0.04377684,0.0005324011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2504438,0.001790277,0.7075743,0.0001505635,0.0001107505,0.0007627858,0.006573038,0.001056825,0.03153769],"genre_scores_gemma":[0.6355513,0.0009402306,0.3469352,0.00004563745,0.00003567758,0.001155289,0.002534225,0.0002185031,0.01258404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006444947,"threshold_uncertainty_score":0.02156055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434809181379606,"score_gpt":0.2880564196962213,"score_spread":0.2537083278824253,"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."}}