{"id":"W3111105414","doi":"10.5539/eer.v10n2p50","title":"Thermodynamic and Thermo-Econmic Analysis of Preheated and Blended Castor Oil Methyl Ester in a Compression Ignition Engine","year":2020,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brake specific fuel consumption; Diesel fuel; Exergy; Biodiesel; Diesel engine; Thermal efficiency; Thrust specific fuel consumption; Materials science; Environmental science; Pulp and paper industry; Waste management; Combustion; Automotive engineering; Chemistry; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855526,0.0001827579,0.000351318,0.0004570135,0.0002646395,0.0003252116,0.0002599449,0.0001583062,0.0009678371],"category_scores_gemma":[0.0002901321,0.0001407671,0.0003082945,0.000315332,0.00027609,0.0002659446,0.0001590499,0.0002517526,0.0001559752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550701,"about_ca_system_score_gemma":0.0003046278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442581,"about_ca_topic_score_gemma":0.008406206,"domain_scores_codex":[0.9997799,0.00001136333,0.00000817922,0.00002115814,0.0001563894,0.0000229948],"domain_scores_gemma":[0.9999131,0.00001798456,0.00001089751,0.000006167882,0.00004246866,0.000009439501],"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":[0.0006162409,0.0001130612,0.007083642,0.0001744321,0.00002406275,0.0001415962,0.00009150929,0.003882175,0.9780864,0.0001991982,0.00004334432,0.009544335],"study_design_scores_gemma":[0.00001211301,0.0004259804,0.03529631,0.000007863701,0.000028576,0.00007727044,0.0001008623,0.01152396,0.9517246,0.00005712283,0.000726085,0.0000192697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981387,0.0002319848,0.0008090294,0.000006189723,0.000004932944,0.000009466308,0.00008500208,0.00001209734,0.0007026117],"genre_scores_gemma":[0.9985173,0.0001420345,0.0004488674,0.000002547838,0.000001572063,0.000007253474,0.0001362322,0.000007262153,0.0007369699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00442581,"threshold_uncertainty_score":0.008800149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546600174010285,"score_gpt":0.2548158482870221,"score_spread":0.2193498465469192,"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."}}