{"id":"W2588986285","doi":"10.4271/2017-01-0771","title":"Mode Switching to Improve Low Load Efficiency of an Ethanol-Diesel Dual-Fuel Engine","year":2017,"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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Dual (grammatical number); Dual mode; Diesel engine; Diesel fuel; Mode (computer interface); Fuel efficiency; Environmental science; Computer science; Engineering; Electronic engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001707975,0.0003542874,0.0002996466,0.0003761216,0.000181283,0.0002833404,0.0006174843,0.0001615244,0.001149661],"category_scores_gemma":[0.0002178452,0.0001116331,0.000146786,0.0001271311,0.00009050467,0.0001864943,0.000192447,0.0001686648,0.0002364167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621237,"about_ca_system_score_gemma":0.0001655355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006800233,"about_ca_topic_score_gemma":0.001026109,"domain_scores_codex":[0.9999157,0.0000100739,0.00000837584,0.00001787839,0.0000346827,0.00001331695],"domain_scores_gemma":[0.9998919,0.00003138154,0.00001593383,0.00001361375,0.00003653702,0.00001060178],"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":[0.001279215,0.0007531182,0.002965581,0.0002662705,0.00003531056,0.0001820817,0.0001525564,0.02076391,0.8366852,0.0005852216,0.0006040003,0.1357275],"study_design_scores_gemma":[0.0001428342,0.001446527,0.008710735,0.00001738567,0.00006161298,0.0001520629,0.00005035865,0.3210603,0.6654207,0.0003028573,0.002601169,0.00003345485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450331,0.0002084354,0.049706,0.00004805389,0.000054682,0.0000631182,0.00005537999,0.001072289,0.003759026],"genre_scores_gemma":[0.9934057,0.00003531472,0.005636929,0.00001246018,0.000003269379,0.00001339405,0.00002943797,0.00001579129,0.00084763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001149661,"threshold_uncertainty_score":0.00384599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015156786280951,"score_gpt":0.2674734108452506,"score_spread":0.2573218429824411,"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."}}