{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000233282,0.0004953081,0.0003536172,0.0001933617,0.000124909,0.0005821183,0.0001800699,0.0002817758,0.000355641],"category_scores_gemma":[0.0001679641,0.0001426069,0.0004831375,0.0002103768,0.0001234461,0.0002739162,0.0003391207,0.0005030775,0.0002074293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008061,"about_ca_system_score_gemma":0.0002557742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264488,"about_ca_topic_score_gemma":0.001727472,"domain_scores_codex":[0.99975,0.00004737766,0.0000281498,0.00003867649,0.00008461509,0.00005128593],"domain_scores_gemma":[0.9999229,0.000009805575,0.00002776081,0.000006214522,0.00002206053,0.00001127687],"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":[0.00005448455,0.00003043235,0.0003149301,0.00004406943,0.000004646524,0.0000258976,0.000006489068,0.00007446756,0.9979795,0.00001295908,0.000008006055,0.001444132],"study_design_scores_gemma":[0.000003252817,0.0003498264,0.002091055,0.00000838773,0.00001512684,0.00006332125,0.00002746747,0.0003548122,0.996591,0.00001137556,0.0004809336,0.000003585286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962042,0.001026423,0.0017368,0.00007092739,0.00001338854,0.00001729524,0.0001094962,0.00003155444,0.0007898628],"genre_scores_gemma":[0.9922948,0.001325644,0.004598853,0.00003503303,0.000006125509,0.00001510775,0.0003408774,0.00001340312,0.001370214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001264488,"threshold_uncertainty_score":0.002514303,"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."}}