{"id":"W2791282432","doi":"10.1016/j.biortech.2018.03.045","title":"The pH-based fed-batch for lipid production from Trichosporon oleaginosus with crude glycerol","year":2018,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glycerol; Fermentation; Chemistry; Food science; Fatty acid; Biomass (ecology); Chromatography; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000119115,0.0004574642,0.0001938775,0.0002754742,0.0001840123,0.0003923976,0.0003674342,0.0002367382,0.0003883705],"category_scores_gemma":[0.0000955987,0.0001294547,0.0003355641,0.0002814611,0.0001347574,0.0003664659,0.0004191757,0.0003714605,0.0002532534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917621,"about_ca_system_score_gemma":0.0004133228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250413,"about_ca_topic_score_gemma":0.00409724,"domain_scores_codex":[0.999895,0.00001115746,0.0000120374,0.00001788945,0.00004738825,0.00001643748],"domain_scores_gemma":[0.9999717,0.000003443523,0.000004793084,0.000003684755,0.000007898097,0.000008532545],"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":[0.00007956394,0.00002874383,0.00015604,0.0000341098,0.000003940983,0.00004460609,0.00000602289,0.0001047116,0.9978928,0.00003802172,0.00002345482,0.001587976],"study_design_scores_gemma":[0.00001206832,0.0001132021,0.001433236,0.000003866414,0.0000144974,0.00007059937,0.00001633924,0.0009291797,0.9969505,0.00002060412,0.0004296051,0.000006230642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987954,0.0006285083,0.008101615,0.0001832404,0.00005672838,0.00009605027,0.0007462041,0.0001193652,0.002114191],"genre_scores_gemma":[0.9893889,0.0005996887,0.007066228,0.00003532585,0.000007575419,0.00004399435,0.0008170526,0.00002081774,0.002020366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002250413,"threshold_uncertainty_score":0.00447464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004492541115607495,"score_gpt":0.2075201208315532,"score_spread":0.2030275797159457,"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."}}