{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124018,0.0001354884,0.0001691171,0.0001372711,0.0001480562,0.00002627482,0.0001215159,0.00004652162,0.000006275711],"category_scores_gemma":[0.0003962299,0.0001108432,0.00005625203,0.0002676731,0.00003165997,0.00002058755,0.00007923899,0.000269408,5.59199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006660236,"about_ca_system_score_gemma":0.00008118075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005610486,"about_ca_topic_score_gemma":0.00001536226,"domain_scores_codex":[0.9987779,0.0001391282,0.0003817683,0.0003177603,0.0002097626,0.0001737051],"domain_scores_gemma":[0.9993231,0.000002775721,0.0002374622,0.0002539096,0.0001418996,0.00004088972],"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":[0.0002786234,0.00005885303,0.0003921249,0.0000147401,0.00003738086,0.00000166239,0.0003134068,0.03856151,0.9538279,0.00000248788,0.0004792229,0.006032053],"study_design_scores_gemma":[0.0001436593,0.0003531918,0.0004827486,0.00001751022,0.00004351247,0.0009600981,0.0003078016,0.00008160957,0.9685614,0.00004235092,0.02885565,0.0001505346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935288,0.001174459,0.00006668076,0.002766428,0.002163833,0.0002800912,0.000001263379,0.000007430947,0.00001094891],"genre_scores_gemma":[0.9950206,0.0002005126,0.0005182088,0.0000848213,0.003701393,0.00001271162,0.000004215897,0.00002140697,0.0004360863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0384799,"threshold_uncertainty_score":0.4520055,"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."}}