{"id":"W2625929943","doi":"10.1016/j.biortech.2017.06.074","title":"Valorization of raw glycerol and crustacean waste into value added products by Yarrowia lipolytica","year":2017,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Yarrowia; Lipase; Glycerol; Food science; Biodiesel; Yeast; Raw material; Biodiesel production; Chemistry; Biochemistry; Biology; Enzyme; Organic chemistry","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":[0.0001312645,0.0001508657,0.0001785865,0.000100996,0.0001509679,0.00002117482,0.000286599,0.000301371,0.000002598932],"category_scores_gemma":[0.0004439216,0.0001431661,0.0000288098,0.00009586266,0.0003614371,0.000005065186,0.0001957921,0.00009523792,0.000002338034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007074869,"about_ca_system_score_gemma":0.00002717735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003327558,"about_ca_topic_score_gemma":0.000004292656,"domain_scores_codex":[0.9991372,0.00001729453,0.0001829801,0.0003999819,0.0000720542,0.0001905381],"domain_scores_gemma":[0.9989372,0.000001489102,0.0001651945,0.000770153,0.00008586085,0.00004008363],"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":[0.00003571487,0.00003108847,0.0008563026,0.00004341554,0.00002512373,3.914821e-7,0.00003003684,0.000009214378,0.9904343,0.0003898323,0.001609304,0.006535269],"study_design_scores_gemma":[0.0003614805,0.0002021272,0.0002363078,0.00001636835,0.00002505718,0.00001779303,0.00004971998,0.00003151386,0.9492759,0.000058533,0.04957961,0.0001455593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956558,0.001541263,0.0007434704,0.001549767,0.0001792098,0.0001877064,0.000009886424,0.00005276233,0.00008015894],"genre_scores_gemma":[0.9974205,0.0002586918,0.001454376,0.00002237703,0.0002488579,0.000007532929,0.00003707967,0.00002303482,0.0005275603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04797031,"threshold_uncertainty_score":0.5838146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003187592346219974,"score_gpt":0.2093391488518698,"score_spread":0.2061515565056498,"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."}}