{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001287002,0.0001753702,0.0001956335,0.00008164145,0.00006907022,0.00001887999,0.000147898,0.00005160212,0.00008731265],"category_scores_gemma":[0.000008611292,0.0001710459,0.00007192074,0.0001044182,0.00002758153,0.0003653077,0.00007051448,0.0006985598,0.000002189234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000231,"about_ca_system_score_gemma":0.000008940698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002119129,"about_ca_topic_score_gemma":1.39899e-7,"domain_scores_codex":[0.9990923,0.0000115181,0.0002530511,0.0001568854,0.000288943,0.0001972512],"domain_scores_gemma":[0.9996553,0.00001286767,0.0001096357,0.0001340362,0.00000639165,0.00008173726],"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":[0.00007323232,0.00004989556,0.0002463154,0.000008008195,0.00004396109,0.000005562691,0.0001802105,0.212844,0.7856503,0.000001377261,0.00002587409,0.0008712838],"study_design_scores_gemma":[0.0004160959,0.0001096746,0.002030334,0.00005204699,0.00004213973,0.0001875722,0.00008143298,0.0169997,0.9774907,9.133853e-7,0.00235077,0.0002385702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997477,0.0001761708,0.001524468,0.00004181513,0.0005971884,0.00007326408,0.00001650041,0.0000681351,0.00002546124],"genre_scores_gemma":[0.9924492,0.00006117138,0.006948722,0.000008264012,0.0004561684,0.000005654908,0.00002085206,0.00003960689,0.00001041338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1958443,"threshold_uncertainty_score":0.697505,"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."}}