{"id":"W2097878118","doi":"10.1109/tie.2009.2029516","title":"Development of a Dual-Fuel Power Generation System for an Extended Range Plug-in Hybrid Electric Vehicle","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Automotive industry; Green vehicle; Automotive engineering; Miles per gallon gasoline equivalent; Gasoline; Hydrogen vehicle; Internal combustion engine; Computer science; Fuel efficiency; Hydrogen fuel; Engineering; Fuel cells; Waste management; Aerospace engineering","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":[0.0002303241,0.0003685287,0.0003142063,0.0003162394,0.0003906871,0.000591751,0.00104436,0.0004423026,0.00659614],"category_scores_gemma":[0.000166557,0.0002031734,0.0002119128,0.0002059453,0.0001216445,0.0007545868,0.0004548724,0.0005263797,0.002842447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001058,"about_ca_system_score_gemma":0.0005271698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578257,"about_ca_topic_score_gemma":0.001477209,"domain_scores_codex":[0.9998384,0.00001761678,0.000007916369,0.00004170029,0.00007790097,0.00001644895],"domain_scores_gemma":[0.9998877,0.000006291719,0.000005216098,0.00000945291,0.00007589324,0.00001531743],"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":[0.0006231742,0.0007058789,0.004000873,0.0005644374,0.0000849858,0.001203266,0.0003687783,0.04229961,0.295097,0.01620711,0.02257498,0.6162699],"study_design_scores_gemma":[0.0003552601,0.002475274,0.006369952,0.0001059871,0.0001149321,0.001445729,0.0002553309,0.4752167,0.2472312,0.00447714,0.2618133,0.0001391985],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1319357,0.0006079428,0.7846426,0.0008917961,0.0008391362,0.001075223,0.0006303574,0.01241779,0.0669595],"genre_scores_gemma":[0.7850763,0.0004151457,0.1656474,0.0002807128,0.0001237734,0.0006046438,0.0009353856,0.000222495,0.04669408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00659614,"threshold_uncertainty_score":0.0220663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239668192433143,"score_gpt":0.2396308867067527,"score_spread":0.2072342047824213,"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."}}