{"id":"W1881553573","doi":"10.1002/cjce.22279","title":"Water removal from biodiesel/diesel blends and jet fuel using natural resin as dehydration agent","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Biodiesel; Flash point; Water content; Moisture; Combustion; Materials science; Pulp and paper industry; Waste management; Jet fuel; Heat of combustion; Chemical engineering; Chemistry; Composite material; Organic chemistry; Catalysis","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":[0.0001927419,0.0001278452,0.000142652,0.0001008469,0.00005910362,0.00007978432,0.0001424214,0.00006939077,0.00001917022],"category_scores_gemma":[0.00007921194,0.0000890045,0.00004071018,0.0001016415,0.00005994587,0.0001351107,0.00001436667,0.0003389879,0.00001077148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307194,"about_ca_system_score_gemma":0.00009843701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009952082,"about_ca_topic_score_gemma":0.000215824,"domain_scores_codex":[0.9993082,0.00000922626,0.0002336791,0.00008440196,0.0001329424,0.0002316037],"domain_scores_gemma":[0.9993728,0.00001710776,0.00002858256,0.000130054,0.00009420932,0.0003572854],"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":[0.00001578588,0.000004833716,0.00005062196,0.00004362944,0.0001604269,0.00004943299,0.003431349,0.0493881,0.9418469,0.0004324367,0.003330496,0.001245949],"study_design_scores_gemma":[0.0007398561,0.00002538998,0.00009114902,0.0001083259,0.0001130565,0.0009651246,0.000276531,0.1624034,0.7715743,0.002155507,0.06103639,0.0005108748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942222,0.002896827,0.0004399106,0.001500153,0.0006269172,0.00005864784,0.000008035684,0.00003752246,0.0002097498],"genre_scores_gemma":[0.9977829,0.00001440992,0.001652109,0.00004892686,0.0004487918,0.000001557753,0.000007157412,0.00002010838,0.000024005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702726,"threshold_uncertainty_score":0.3629498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213342531842905,"score_gpt":0.2064510648081771,"score_spread":0.1851168116238866,"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."}}