{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002149984,0.00009980683,0.000178583,0.00009618974,0.00005712538,0.00002257559,0.0003403678,0.00004195591,0.00001201371],"category_scores_gemma":[0.00003408875,0.00005124923,0.00006005662,0.0009721798,0.0001135117,0.0006301802,0.00002209467,0.0002209844,0.00001104904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005488361,"about_ca_system_score_gemma":0.00002044201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000143005,"about_ca_topic_score_gemma":2.149394e-7,"domain_scores_codex":[0.999019,0.000005065392,0.000336443,0.00009662403,0.000390699,0.0001521606],"domain_scores_gemma":[0.9991183,0.00001872532,0.0001984014,0.00009567154,0.000497532,0.00007138767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000002708883,0.00001444197,0.001119687,0.00004187228,0.000006001099,6.845162e-8,0.0001684235,0.07230978,0.9256602,0.00008015514,0.0001672646,0.0004293734],"study_design_scores_gemma":[0.00008510841,0.00009171867,0.5298194,0.00009445782,0.000004434396,0.00003664262,0.0002043122,0.00004893199,0.4694435,0.000004102587,0.0001051388,0.00006231905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987324,0.00009988012,9.145007e-7,0.0002154977,0.0002306159,0.00008627205,0.000003144636,0.00001595641,0.000615258],"genre_scores_gemma":[0.9993463,0.0001165425,0.0003467239,0.00001014799,0.00009458949,8.606735e-7,5.267545e-7,0.000002265711,0.00008207107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5286996,"threshold_uncertainty_score":0.2089883,"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."}}