{"id":"W2073677562","doi":"10.1016/j.biortech.2014.04.016","title":"Growth and neutral lipid synthesis by Yarrowia lipolytica on various carbon substrates under nutrient-sufficient and nutrient-limited conditions","year":2014,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Agilent Technologies","keywords":"Yarrowia; Glycerol; Biodiesel; Biodiesel production; Food science; Chemistry; Nutrient; Canola; Dry weight; Yeast; Growth medium; Biofuel; Biochemistry; Biology; Botany; Biotechnology; Organic chemistry; Catalysis","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":[0.00009987131,0.0002193545,0.0001995164,0.0001938984,0.0001118683,0.00002571198,0.0001276375,0.0003745305,0.000002402636],"category_scores_gemma":[0.0001677371,0.0002042815,0.00003475955,0.0002193265,0.0003373851,0.000002162963,0.00007331502,0.0001595026,0.00000223953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001014368,"about_ca_system_score_gemma":0.00001101395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850814,"about_ca_topic_score_gemma":0.000004090496,"domain_scores_codex":[0.9988778,0.00003864686,0.000180467,0.0005257908,0.00006480859,0.0003125243],"domain_scores_gemma":[0.999464,0.00001766526,0.00006556878,0.0003238891,0.00003801672,0.00009080957],"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":[0.00003640557,0.0001175977,0.0005646511,0.00002047789,0.00003344828,5.703171e-7,0.00001890353,0.00001234845,0.9924667,0.005982563,0.0004003613,0.0003459338],"study_design_scores_gemma":[0.000414688,0.0004381154,0.001167496,0.00002244277,0.00005151064,0.00005324326,0.00009319637,0.0001068141,0.9851615,0.0002029824,0.01203275,0.000255254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99694,0.0008253722,0.0002992283,0.00136281,0.0001222887,0.0001685415,0.00003523663,0.0001222581,0.0001243343],"genre_scores_gemma":[0.9990783,0.000312,0.0001428127,0.000129661,0.0001592891,0.00003172435,0.00004708471,0.00002650365,0.00007259285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163239,"threshold_uncertainty_score":0.8330356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376586217379008,"score_gpt":0.1871666218526106,"score_spread":0.1837900356352316,"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."}}