{"id":"W4411846889","doi":"10.29294/ijase.11.4.2025.4557-4566","title":"Effects of Injection Timing and EGR on Performance of CRDI Diesel Engine Fueled with Ceiba Pentandra Oil Methyl Ester (CPOME), 2-ethylhexyl nitrate and Diesel Blend","year":2025,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"All India Council for Technical Education; International Development Research Centre","keywords":"Diesel fuel; Ceiba; NOx; Diesel engine; Nitrate; Diesel exhaust; Environmental science; Chemistry; Automotive engineering; Organic chemistry; Combustion; Engineering; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002210912,0.0001083266,0.0001691042,0.0003696782,0.00005227271,0.0000285672,0.0001157513,0.00002394711,9.605527e-7],"category_scores_gemma":[0.00006968169,0.00008963454,0.00001688474,0.0003043524,0.0001514042,0.0004824661,0.00003223828,0.0001521441,1.074252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004728947,"about_ca_system_score_gemma":0.00002387738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001688611,"about_ca_topic_score_gemma":7.15972e-7,"domain_scores_codex":[0.9992754,0.000004216907,0.000235924,0.0001165981,0.0002570379,0.0001107501],"domain_scores_gemma":[0.9994627,0.00007548578,0.00008203129,0.00006064665,0.0002712218,0.00004787832],"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":[0.0001123684,0.00003562457,0.0007116441,0.000566754,0.0001309686,0.000002832368,0.0005762681,0.1555959,0.7691355,0.0006457894,0.000009335191,0.07247706],"study_design_scores_gemma":[0.002193278,0.0005692584,0.04069873,0.001597641,0.00007974869,0.0001440249,0.0004526405,0.09200362,0.8608869,0.0001232149,0.0009202587,0.0003307218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947168,0.001086452,0.003522124,0.0001247529,0.0003125269,0.00004675495,0.000002072248,0.00001640097,0.0001720778],"genre_scores_gemma":[0.994572,0.002195173,0.003140032,0.00001455737,0.00003565446,0.000005212037,3.458937e-7,0.000006770854,0.00003025258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09175138,"threshold_uncertainty_score":0.365519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003850496963659807,"score_gpt":0.2198958978816113,"score_spread":0.2160454009179515,"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."}}