{"id":"W4410632672","doi":"10.22215/etd/2025-16364","title":"Energy Recovery and Treatment of Brewery Wastewater in a Bioelectrochemically Enhanced Anaerobic Digestion System","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Anaerobic digestion; Waste management; Digestion (alchemy); Anaerobic exercise; Environmental science; Energy recovery; Sewage treatment; Pulp and paper industry; Wastewater; Energy (signal processing); Engineering; Chemistry; Medicine; Mathematics; Biology; Ecology; Chromatography; Methane; Statistics; Physical therapy","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":[0.000134216,0.0001914426,0.0002879111,0.0001343799,0.0001945744,0.0004834272,0.0001972905,0.0003339801,0.0004545191],"category_scores_gemma":[0.00007303707,0.0001226761,0.0002081608,0.0001845059,0.00009694479,0.0002470644,0.0002415644,0.0003791449,0.0003519332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556576,"about_ca_system_score_gemma":0.0003058536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316879,"about_ca_topic_score_gemma":0.002443759,"domain_scores_codex":[0.99988,0.00001102953,0.00001089869,0.00002446999,0.00005323342,0.00002042767],"domain_scores_gemma":[0.9999822,0.00000262603,0.000003848906,0.000001855913,0.0000057023,0.000003800326],"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":[0.00004837761,0.00004713303,0.0002021816,0.00003953236,0.000003481547,0.00003199407,0.00001855758,0.0003598978,0.9955984,0.00004425096,0.00002588968,0.003580191],"study_design_scores_gemma":[0.000009178076,0.000150168,0.001618298,0.000004602044,0.000007680346,0.00004290728,0.00002875677,0.002985529,0.9933029,0.00001773995,0.001827909,0.000004225833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922747,0.0004223189,0.005646934,0.0000788808,0.00001364701,0.0000254775,0.00006815037,0.0000586138,0.001411342],"genre_scores_gemma":[0.982618,0.0008429214,0.01021145,0.00004670508,0.000005326525,0.00002594749,0.0002106385,0.00001311021,0.006026007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001316879,"threshold_uncertainty_score":0.002618492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003600155719811725,"score_gpt":0.1843994297943067,"score_spread":0.180799274074495,"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."}}