{"id":"W2594269720","doi":"10.18331/brj2017.4.1.6","title":"The in-process removal of sterol glycosides by ultrafiltration in biodiesel production","year":2017,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Transesterification; Biodiesel; Ultrafiltration (renal); Sodium methoxide; Biodiesel production; Methanol; Soybean oil; Chromatography; Decantation; Solubility; Fatty acid methyl ester; Yield (engineering); Catalysis; Organic chemistry; Nuclear chemistry; Materials science; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271156,0.0004892651,0.0003010173,0.0002885822,0.0002518897,0.000361668,0.0002890313,0.0003785247,0.0004174696],"category_scores_gemma":[0.0002132254,0.0001727135,0.0004263503,0.0002448388,0.0001948575,0.0004053123,0.0002418869,0.0004440545,0.0002595606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028968,"about_ca_system_score_gemma":0.0001793311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251635,"about_ca_topic_score_gemma":0.002044925,"domain_scores_codex":[0.9998043,0.0000316372,0.00001342038,0.00003614592,0.00007484417,0.00003962325],"domain_scores_gemma":[0.9998976,0.00001803863,0.00003846296,0.00001090977,0.00002491896,0.00001007799],"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":[0.00003136758,0.00002067381,0.0001865867,0.00005890818,0.000006298622,0.00002871802,0.00001494864,0.00006499128,0.9967685,0.00002348301,0.00001385121,0.002781705],"study_design_scores_gemma":[0.000001318534,0.00005303399,0.001036397,0.000003199875,0.00001110619,0.00005500884,0.000009232402,0.0003844716,0.9977483,0.00001236068,0.0006828093,0.000002818899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662353,0.003885235,0.02817168,0.00009341461,0.00005535672,0.00004286837,0.0001187413,0.0001196212,0.001277716],"genre_scores_gemma":[0.9784349,0.002372331,0.0163881,0.00004931152,0.00001526173,0.0000212351,0.0001487235,0.00003768387,0.002532423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251635,"threshold_uncertainty_score":0.00292325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453057930490703,"score_gpt":0.3722302739336557,"score_spread":0.3076996946287486,"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."}}