{"id":"W2965487887","doi":"10.1021/acssuschemeng.9b01960","title":"Microbial Lipid Accumulation through Bioremediation of Palm Oil Mill Wastewater by <i>Bacillus cereus</i>","year":2019,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Ministry of Higher Education, Malaysia","keywords":"Pome; Bioremediation; Chemical oxygen demand; Wastewater; Bacillus cereus; Food science; Biomass (ecology); Pulp and paper industry; Cereus; Biofuel; Chemistry; Biochemical oxygen demand; Biology; Biotechnology; Botany; Environmental science; Environmental engineering; Bacteria; Contamination; Agronomy; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000152042,0.0002519743,0.0002239965,0.00003055117,0.00003607023,0.00002452744,0.0001873828,0.0002549688,0.00003684642],"category_scores_gemma":[0.0001119313,0.000264303,0.00008736383,0.0001825339,0.00002464905,0.00002459056,0.0001052079,0.0001334695,0.000006847028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005685531,"about_ca_system_score_gemma":0.00004449466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003562278,"about_ca_topic_score_gemma":1.243459e-7,"domain_scores_codex":[0.9987296,0.000009941195,0.0003070724,0.0004057311,0.0001301474,0.0004174753],"domain_scores_gemma":[0.9992243,0.000005014091,0.000108006,0.0004238256,0.0001826231,0.00005620764],"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":[0.00002984423,0.00003193407,0.0001022293,0.0006694198,0.00004242181,8.123326e-7,0.00006068741,0.01478897,0.9827284,0.00001119665,0.001383204,0.0001509037],"study_design_scores_gemma":[0.000430182,0.00003140469,0.00002517492,0.00002544717,0.00001634735,0.0000104617,0.00009075661,0.0001271034,0.8430489,0.00000211089,0.1559417,0.0002503505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997717,0.0007911631,0.0006690697,0.00006211696,0.000264467,0.0001167151,0.00002712064,0.00004824792,0.000304161],"genre_scores_gemma":[0.9903765,0.0002612151,0.0006240126,0.00001929668,0.0005773474,0.00001351063,0.0005683719,0.00004820378,0.007511596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1545585,"threshold_uncertainty_score":0.9999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003737570108661493,"score_gpt":0.191916166990107,"score_spread":0.1881785968814455,"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."}}