{"id":"W2943043805","doi":"10.1139/tcsme-2019-0049","title":"A novel alternative fuel mixture (diesel–biodiesel–pentanol) for the existing unmodified direct injection diesel engine: performance and emission characteristics","year":2019,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Biodiesel; Diesel engine; Jatropha; Brake specific fuel consumption; NOx; Diesel exhaust fluid; Materials science; Winter diesel fuel; Waste management; Smoke; Pulp and paper industry; Environmental science; Combustion; Diesel exhaust; Chemistry; Automotive engineering; Diesel cycle; Combustion chamber; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002313551,0.000203209,0.0002153815,0.00004800753,0.0004316475,0.0000400502,0.0002297502,0.0001497684,0.00001025463],"category_scores_gemma":[0.00004789434,0.0001583863,0.0002687014,0.0002521416,0.00004800981,0.0001107831,0.00001056989,0.0003182266,9.573445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468282,"about_ca_system_score_gemma":0.00005080612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006092491,"about_ca_topic_score_gemma":0.0007197676,"domain_scores_codex":[0.9990791,0.000004323206,0.000259024,0.0002198491,0.0001218955,0.0003158177],"domain_scores_gemma":[0.9992611,0.0001708186,0.00005366957,0.0002874246,0.0001076541,0.0001193572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001120298,0.0001479864,0.00009028168,0.006079508,0.00259724,1.621529e-7,0.007240965,0.5849885,0.3276199,0.006121922,0.003706063,0.06129544],"study_design_scores_gemma":[0.0005610765,0.0000571823,0.0002886833,0.0001087993,0.0001447197,0.00001055412,0.0003557962,0.9531364,0.02096683,0.00005451572,0.02403295,0.0002824243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141019,0.0009330704,0.8714204,0.002616878,0.004132646,0.00427139,0.001738489,0.0004892014,0.0002960326],"genre_scores_gemma":[0.9939172,0.0002352211,0.004902932,0.00005568055,0.0001319346,0.0002955927,0.00001742137,0.00004661339,0.000397437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798152,"threshold_uncertainty_score":0.6458807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637473614717241,"score_gpt":0.2096178572553349,"score_spread":0.1932431211081625,"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."}}