{"id":"W1562582573","doi":"10.4271/2003-01-0081","title":"A Well-to-Wheel Comparison of Several Powertrain Technologies","year":2003,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Powertrain; Automotive engineering; Computer science; Torque; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006535726,0.0005677163,0.0004492968,0.002020004,0.0002814606,0.000872582,0.0006547752,0.0004323854,0.006369812],"category_scores_gemma":[0.001629192,0.0001741311,0.0005067135,0.001586569,0.0001628067,0.001639804,0.0003210718,0.0003418803,0.001344973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006636423,"about_ca_system_score_gemma":0.0003013961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052711,"about_ca_topic_score_gemma":0.004350531,"domain_scores_codex":[0.9991888,0.00008261215,0.00006138704,0.00008455825,0.0004820445,0.0001005773],"domain_scores_gemma":[0.9992388,0.0001715637,0.00004034517,0.00007636707,0.0004449631,0.00002791081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004080342,0.001226913,0.02131395,0.001612182,0.0004644986,0.000501678,0.0001376205,0.1224468,0.136383,0.007394303,0.007705702,0.6967331],"study_design_scores_gemma":[0.0008232322,0.01959064,0.2205292,0.0002183511,0.001241753,0.0007214153,0.001032083,0.1982962,0.4669216,0.006469072,0.08380415,0.0003522934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853057,0.002111044,0.06436847,0.0002109939,0.0002834509,0.00084653,0.004575875,0.001442086,0.07310471],"genre_scores_gemma":[0.9636356,0.00130385,0.01563098,0.00005742355,0.00003014642,0.0002543679,0.003491275,0.0002132811,0.01538311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006369812,"threshold_uncertainty_score":0.02130908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328309099233009,"score_gpt":0.2643502535972655,"score_spread":0.2510671626049354,"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."}}