{"id":"W3123329529","doi":"10.1007/s13399-021-01275-6","title":"Yeast and bacteria co-culture-based lipid production through bioremediation of palm oil mill effluent: a statistical optimization","year":2021,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Universiti Malaysia Pahang; Ministry of Higher Education, Malaysia","keywords":"Chemical oxygen demand; Pome; Bacillus cereus; Response surface methodology; Yeast; Food science; Effluent; Wastewater; Chemistry; Bioremediation; Microorganism; Bacteria; Yeast extract; Pulp and paper industry; Biology; Fermentation; Environmental science; Botany; Biochemistry; Environmental engineering; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001065404,0.0001298823,0.0001393917,0.00004239012,0.00005592731,0.00001893517,0.00003097629,0.0001446355,0.0000205268],"category_scores_gemma":[0.0001002482,0.0001120669,0.00003184373,0.0001205296,0.000109307,0.000009330638,0.00003102196,0.00003913099,0.000001348556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008013777,"about_ca_system_score_gemma":0.00003995614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001461264,"about_ca_topic_score_gemma":0.000002262341,"domain_scores_codex":[0.9992127,0.00005179379,0.0001807969,0.0003476595,0.00009305461,0.0001139865],"domain_scores_gemma":[0.9995875,0.000003006562,0.00008143684,0.0001490519,0.0001268713,0.00005214166],"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":[0.0001029293,0.00005732003,0.0006790134,0.0001801871,0.0000212266,9.864013e-7,0.00002905973,0.0000423586,0.9960267,0.00001324587,0.001109556,0.001737394],"study_design_scores_gemma":[0.0006249399,0.0001115591,0.002677617,0.0000328322,0.00003498063,0.00001929032,0.00003481177,0.00034462,0.9655144,0.000001180807,0.03045705,0.0001467339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948781,0.0007930076,0.003316059,0.0002904595,0.000502113,0.00006392581,0.0001077656,0.00001818006,0.00003044809],"genre_scores_gemma":[0.9835652,0.001695821,0.01265975,0.00008687521,0.0003378755,0.000004723618,0.001384944,0.00001331918,0.0002515657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03051234,"threshold_uncertainty_score":0.4569955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00719433563697386,"score_gpt":0.2193522783783151,"score_spread":0.2121579427413413,"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."}}