{"id":"W2736173503","doi":"10.1007/s12155-017-9857-0","title":"Current Prospects on Production of Microbial Lipid and Other Value-Added Products Using Crude Glycerol Obtained from Biodiesel Industries","year":2017,"lang":"en","type":"article","venue":"BioEnergy Research","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biodiesel; Glycerol; Biodiesel production; Raw material; Biofuel; Pulp and paper industry; Bioenergy; Chemical industry; Biotechnology; Food science; Chemistry; Organic chemistry; Biology; 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":[0.0005535682,0.0001833279,0.0002003965,0.0001397546,0.0003696567,0.00008922681,0.0002718665,0.0001743874,0.000004952422],"category_scores_gemma":[0.001042787,0.0001593387,0.00003626709,0.0001506278,0.0004523825,0.00001150548,0.0002211422,0.000230094,0.000002977561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002756732,"about_ca_system_score_gemma":0.0001478372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007167378,"about_ca_topic_score_gemma":0.00003733259,"domain_scores_codex":[0.9984106,0.000119905,0.0002124002,0.0006641567,0.0002489455,0.0003439815],"domain_scores_gemma":[0.9986326,0.000004304399,0.0001333973,0.0008119901,0.000345377,0.00007240117],"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":[0.0003419555,0.0001271691,0.00134221,0.00005726124,0.00005046813,4.623815e-7,0.00005507509,0.00005676641,0.9907638,0.0001256578,0.001908047,0.005171143],"study_design_scores_gemma":[0.0003976561,0.0002285874,0.002706427,0.00009593026,0.00001249979,0.000005457836,0.00002223069,0.00002080782,0.9299413,0.00002031086,0.06639057,0.0001582297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966961,0.001255687,0.00001731677,0.000554482,0.001039334,0.0003189188,0.00004516789,0.00001499875,0.00005798596],"genre_scores_gemma":[0.9954536,0.0004108965,0.0004997196,0.00001025374,0.003018777,0.0000145223,0.00004168525,0.00002949079,0.000521051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06448253,"threshold_uncertainty_score":0.6497645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07784172078875336,"score_gpt":0.3441052207644203,"score_spread":0.266263499975667,"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."}}