{"id":"W4412739017","doi":"10.1016/j.biteb.2025.102238","title":"Electrochemically assisted dark fermentation for enhanced hydrogen and butyric acid production from brewery waste slurry","year":2025,"lang":"en","type":"article","venue":"Bioresource Technology Reports","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Slurry; Dark fermentation; Butyric acid; Fermentation; Hydrogen production; Chemistry; Pulp and paper industry; Waste management; Hydrogen; Environmental science; Food science; Biohydrogen; Organic chemistry; Environmental engineering; Engineering","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":[0.0001566768,0.000359851,0.0003515954,0.0001758686,0.0001136822,0.0004513382,0.0002442035,0.0004214053,0.0005273346],"category_scores_gemma":[0.0001758205,0.0001625246,0.0002927657,0.0002109975,0.0001282764,0.0003157766,0.0004344281,0.000515321,0.0002233652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829504,"about_ca_system_score_gemma":0.000168938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948719,"about_ca_topic_score_gemma":0.0009880546,"domain_scores_codex":[0.9998828,0.00001757796,0.0000139126,0.00002405481,0.00003809079,0.0000234786],"domain_scores_gemma":[0.9999555,0.00001010941,0.00001079336,0.000004654757,0.0000106236,0.000008270997],"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":[0.00002483387,0.00001860425,0.00005432203,0.00003234545,0.000002385005,0.00002716787,0.00000701695,0.00005684036,0.9982601,0.00001912607,0.00001092371,0.001486358],"study_design_scores_gemma":[0.00001022784,0.0001489285,0.0009702407,0.000004181841,0.000007613161,0.00004790864,0.00002388148,0.001266164,0.9967201,0.00001966101,0.0007766058,0.000004418413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932587,0.00118946,0.004500256,0.0001323698,0.00004147623,0.00002405314,0.0000654868,0.00006262933,0.000725562],"genre_scores_gemma":[0.9931271,0.0008596723,0.004662418,0.00003407706,0.000009212068,0.00001563805,0.00008140192,0.00001177777,0.001198712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005948719,"threshold_uncertainty_score":0.001764059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003570441089683602,"score_gpt":0.2061744141847066,"score_spread":0.202603973095023,"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."}}