{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006905315,0.0001626774,0.0002567621,0.0003891971,0.0002030943,0.00002802287,0.000115587,0.0001271344,0.00001676023],"category_scores_gemma":[0.00004159576,0.0001418777,0.0000662103,0.0003027726,0.0002483579,0.00006976593,0.00006451643,0.0001184056,8.56185e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344763,"about_ca_system_score_gemma":0.00001045962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436135,"about_ca_topic_score_gemma":0.003287031,"domain_scores_codex":[0.9983441,0.0001593719,0.0002060859,0.0003892001,0.0003522688,0.0005490346],"domain_scores_gemma":[0.9992915,0.0002538096,0.0000538394,0.0002610904,0.00002382597,0.000115875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004583819,0.0005541323,0.24618,0.0001366278,0.004122962,0.00002261186,0.005517516,0.2055124,0.03686597,0.284293,0.00005718404,0.2162792],"study_design_scores_gemma":[0.002640706,0.0008827137,0.1843541,0.00004470392,0.0006186579,0.00001054566,0.01256472,0.02828432,0.436833,0.03586531,0.2965865,0.001314771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894498,0.002138054,0.004732573,0.0001442554,0.00005039744,0.0001807611,0.00001521042,0.00007437238,0.003214551],"genre_scores_gemma":[0.9968705,0.001280558,0.0002570319,0.000005012801,0.00009951426,0.0004042305,0.00005769725,0.00002277273,0.001002654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399967,"threshold_uncertainty_score":0.9922021,"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."}}