{"id":"W4229000559","doi":"10.1016/j.jece.2022.107827","title":"Optimizing volatile fatty acid production from municipal sludge: Linking microbial activity with reactor performance","year":2022,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acidogenesis; Chemistry; Volatile suspended solids; Bioreactor; Fermentation; Chemical oxygen demand; Anaerobic digestion; Acetic acid; Industrial fermentation; Food science; Substrate (aquarium); Fatty acid; Anaerobic exercise; Pulp and paper industry; Volatile fatty acids; Continuous stirred-tank reactor; Chromatography; Biochemistry; Wastewater; Environmental engineering; Environmental science; Organic chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419822,0.0005373397,0.0004832277,0.0003182737,0.000225683,0.00128157,0.0002958392,0.0005797565,0.0004004707],"category_scores_gemma":[0.001080581,0.0002504622,0.0003648479,0.0003568645,0.0001816864,0.0006114784,0.000434301,0.0004152463,0.0001906835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005379766,"about_ca_system_score_gemma":0.0004238484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244091,"about_ca_topic_score_gemma":0.002340199,"domain_scores_codex":[0.9995031,0.0001099864,0.00006710192,0.00007733879,0.0001538683,0.00008863884],"domain_scores_gemma":[0.9997073,0.0001109212,0.00006345145,0.00001647992,0.00006467952,0.00003715406],"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":[0.0003499411,0.000143923,0.001128612,0.00004515994,0.00002193381,0.00001162152,0.00001321242,0.00148162,0.9921589,0.0000200713,0.00001801543,0.004607116],"study_design_scores_gemma":[0.00001254847,0.0006448433,0.003108541,0.000005180439,0.00004425099,0.0000226323,0.00002761653,0.002815511,0.9931014,0.00002027696,0.000187772,0.000009405699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972653,0.0003820717,0.001879801,0.00004264207,0.000009780279,0.00001328214,0.00005452349,0.00002419092,0.0003283641],"genre_scores_gemma":[0.9981443,0.0002363426,0.001235576,0.00001410991,0.000003738772,0.00000714662,0.00006804934,0.000009026992,0.00028174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128157,"threshold_uncertainty_score":0.004452825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005679603527976345,"score_gpt":0.1614780003963108,"score_spread":0.1557983968683345,"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."}}