{"id":"W1983196916","doi":"10.1016/j.jenvman.2013.08.065","title":"Continuous electricity generation in stacked air cathode microbial fuel cell treating domestic wastewater","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wastewater; Power density; Stack (abstract data type); Cathode; Electrode; Microbial fuel cell; Volumetric flow rate; Faraday efficiency; Mesophile; Materials science; Environmental engineering; Sewage treatment; Hydraulic retention time; Pulp and paper industry; Environmental science; Waste management; Power (physics); Chemistry; Anode; Electrical engineering; Computer science; Mechanics; Engineering","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":[0.0001611372,0.0003141117,0.0003842837,0.0002346183,0.0003733905,0.0005500821,0.0004437585,0.00044091,0.001075904],"category_scores_gemma":[0.0002014005,0.0001353903,0.000299338,0.0002058287,0.0002117573,0.0004694117,0.0003447278,0.0004888771,0.0001707107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596694,"about_ca_system_score_gemma":0.0003000165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448204,"about_ca_topic_score_gemma":0.002102753,"domain_scores_codex":[0.9999064,0.00001215912,0.000005916578,0.00001723755,0.00003081278,0.00002728682],"domain_scores_gemma":[0.9999183,0.00001914454,0.000006940437,0.000005794866,0.00003312964,0.00001665196],"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":[0.0009309057,0.0001489489,0.001197988,0.0001265865,0.00002827331,0.0002538209,0.00009166032,0.002230848,0.973457,0.000364023,0.00040425,0.02076558],"study_design_scores_gemma":[0.0000470929,0.0005549191,0.002862128,0.000008201693,0.00002445306,0.00009337209,0.000188712,0.0225869,0.972424,0.0002288696,0.0009686452,0.00001270427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981809,0.0003018583,0.0008444504,0.00007231931,0.00004723046,0.000004791367,0.00005453235,0.00002617833,0.000467721],"genre_scores_gemma":[0.9992322,0.00007885428,0.0002894558,0.000009180349,0.000006764131,0.0000021463,0.00003399223,0.000003425829,0.0003439559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001448204,"threshold_uncertainty_score":0.003599226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004520161843509427,"score_gpt":0.1776745441325183,"score_spread":0.1731543822890089,"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."}}