{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007980415,0.0001069783,0.0001337636,0.00008428559,0.0001398538,0.0000380883,0.0001959845,0.0001165698,0.0006604752],"category_scores_gemma":[0.00001836271,0.00007348449,0.00004626915,0.000344929,0.0001437661,0.0001402189,0.0003265396,0.0002158303,0.0004057286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005627691,"about_ca_system_score_gemma":0.00002116781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007352811,"about_ca_topic_score_gemma":0.0001216279,"domain_scores_codex":[0.9982263,0.0002082167,0.0001927923,0.0003070692,0.0005813076,0.0004843183],"domain_scores_gemma":[0.9995366,0.000008496563,0.00003971496,0.0002096126,0.00007373285,0.0001317987],"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":[0.0001722384,0.00007028587,0.0002407438,0.00001287493,0.000006488312,0.000002200595,0.0008492257,0.0007725862,0.9958268,4.377333e-7,0.001939636,0.0001064257],"study_design_scores_gemma":[0.0003294046,0.0001210013,0.00009636125,0.0000109884,0.000005442901,0.00000181529,0.00005026786,0.0001706562,0.9976967,0.00001587014,0.001403356,0.00009813916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990577,0.00001098398,0.0000192279,0.000126049,0.0001055719,0.0002720823,0.000007971966,0.00001144267,0.0003890368],"genre_scores_gemma":[0.9978169,0.00001730191,0.0001389142,0.00001844339,0.00007738508,0.000004544116,0.00005206658,0.0000138836,0.001860599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00186984,"threshold_uncertainty_score":0.723174,"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."}}