{"id":"W1591397159","doi":"10.1016/j.watres.2015.05.045","title":"Enhanced digestion of waste activated sludge using microbial electrolysis cells at ambient temperature","year":2015,"lang":"en","type":"article","venue":"Water Research","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Anaerobic digestion; Chemistry; Microbial electrolysis cell; Mesophile; Acetic acid; Electrolysis; Activated sludge; Biogas; Volatile suspended solids; Butyric acid; Sewage sludge; Methane; Pulp and paper industry; Reduction potential; Wastewater; Waste management; Sewage treatment; Biochemistry; Inorganic chemistry; Electrode; Organic chemistry","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":[0.0001527477,0.0002944974,0.0003044228,0.0001697377,0.0001696869,0.0004587762,0.0001795668,0.0003499932,0.000648742],"category_scores_gemma":[0.0001804391,0.0001701491,0.0002993157,0.0001542289,0.0001603414,0.0003696571,0.0002096085,0.0003703951,0.0002714441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816815,"about_ca_system_score_gemma":0.0002645199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008841859,"about_ca_topic_score_gemma":0.001738338,"domain_scores_codex":[0.9998887,0.00001390218,0.00001077139,0.00001663691,0.00003943772,0.00003065332],"domain_scores_gemma":[0.9999386,0.00001480265,0.000008489212,0.000005108001,0.00002303754,0.00001002168],"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":[0.0002286011,0.00003497474,0.0001869915,0.00003678,0.000006261547,0.00003315645,0.00002323516,0.0002858296,0.9970487,0.00005690739,0.00003663958,0.002021987],"study_design_scores_gemma":[0.00001273379,0.00008985835,0.001230252,0.000002386177,0.000006330641,0.00003832764,0.00002416218,0.001118983,0.9970461,0.00003257981,0.0003941284,0.000004252799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975835,0.0002799734,0.001215397,0.00005283744,0.00002801491,0.000006804799,0.00007813308,0.00002499418,0.0007303419],"genre_scores_gemma":[0.9975306,0.0001801831,0.0008477876,0.0000116647,0.000004510882,0.000003142138,0.00007904703,0.000008527218,0.001334559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008841859,"threshold_uncertainty_score":0.002170265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340140865194438,"score_gpt":0.2803835424616341,"score_spread":0.2463694559421903,"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."}}