{"id":"W2936156709","doi":"10.5539/jas.v11n5p426","title":"Influence of Feeding Temperature of Biofuels on Agricultural Engine Performance","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiesel; Diesel fuel; Biofuel; Thrust specific fuel consumption; Pulp and paper industry; Diesel engine; Materials science; Renewable energy; Environmental science; Waste management; Thermodynamics; Chemistry; Organic chemistry; Physics; Catalysis; Engineering; Electrical 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":[0.0002166839,0.0003154495,0.0003460149,0.0002008536,0.000171548,0.0005285247,0.0001846995,0.0002375182,0.001232299],"category_scores_gemma":[0.0006443024,0.0001732978,0.0002534143,0.0002164031,0.0001905819,0.0003230488,0.0001555043,0.000280079,0.0004368161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216616,"about_ca_system_score_gemma":0.000145418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007448341,"about_ca_topic_score_gemma":0.0008102545,"domain_scores_codex":[0.9997768,0.00002795968,0.00002124263,0.00005750407,0.00006770042,0.0000488693],"domain_scores_gemma":[0.9997136,0.0001198105,0.0000493347,0.00001707451,0.00007555363,0.00002455536],"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":[0.001475389,0.0001278194,0.003324691,0.000122225,0.00002024474,0.0001301452,0.00008986895,0.0009649019,0.9885173,0.00003776665,0.00005401873,0.005135546],"study_design_scores_gemma":[0.00000529708,0.0004272478,0.006396446,0.000005601383,0.00001721569,0.00004012092,0.00005107844,0.0008333326,0.9918233,0.00001210644,0.0003809071,0.000007328468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982686,0.0002954946,0.0006330834,0.00001822509,0.00001729929,0.000006976255,0.00009505688,0.00002672862,0.000638596],"genre_scores_gemma":[0.9982508,0.0002201949,0.000539716,0.00001291295,0.000004938827,0.00000672111,0.0001085769,0.00001990325,0.000836153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232299,"threshold_uncertainty_score":0.004122436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0047864782917669,"score_gpt":0.1915975406353973,"score_spread":0.1868110623436304,"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."}}