{"id":"W4313407287","doi":"10.1016/j.jclepro.2022.135687","title":"Carbon/nitrogen ratio as a tool to enhance the lipid production in Rhodosporidium toruloides-1588 using C5 and C6 wood hydrolysates","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; GreenField Specialty Alcolhols (Canada); Collège Shawinigan; Institut National de la Recherche Scientifique; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Xylose; Hydrolysate; Chemistry; Food science; Sugar; Carbon-to-nitrogen ratio; Raw material; Biochemistry; Nitrogen; Fermentation; Organic chemistry; Hydrolysis","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":[0.000187041,0.0005241008,0.0002983311,0.0001971205,0.0001321857,0.0003584611,0.000365894,0.0002808815,0.0005834759],"category_scores_gemma":[0.0001656335,0.0001528206,0.0002389774,0.0002516907,0.000142844,0.0002803847,0.000245094,0.0004312805,0.0002635487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544466,"about_ca_system_score_gemma":0.0002672376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001973209,"about_ca_topic_score_gemma":0.002336613,"domain_scores_codex":[0.999853,0.00002049026,0.00001713819,0.00003560294,0.00004568174,0.00002807109],"domain_scores_gemma":[0.9999301,0.00001372066,0.000017938,0.000006833066,0.00001417118,0.00001720705],"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":[0.00007292545,0.00003089867,0.00008138968,0.00002259319,0.000002615494,0.00002919702,0.000006030009,0.0000839021,0.9984608,0.00001230829,0.000008331251,0.00118903],"study_design_scores_gemma":[0.000005137949,0.0001473287,0.0006439579,0.000002518691,0.00000865194,0.00002213165,0.00001427253,0.0004197385,0.998509,0.000004823564,0.0002189979,0.000003328671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976776,0.000280298,0.0009752157,0.00005133909,0.00001221045,0.00001859382,0.0001109958,0.00004037691,0.000833361],"genre_scores_gemma":[0.9964358,0.0002233176,0.002054185,0.00001699775,0.000002521284,0.00001361077,0.0002033004,0.00002245188,0.001027799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001973209,"threshold_uncertainty_score":0.003923476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006040837061325128,"score_gpt":0.2376943916005029,"score_spread":0.2316535545391778,"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."}}