{"id":"W2288769375","doi":"10.1016/j.jenvman.2016.02.025","title":"A comparison of simultaneous organic carbon and nitrogen removal in microbial fuel cells and microbial electrolysis cells","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microbial fuel cell; Chemistry; Denitrification; Ammonium; Nitrification; Carbon fibers; Electrolysis; Nitrogen; Microbial electrolysis cell; Total organic carbon; Environmental chemistry; Nitrate; Nitrite; Anode; Inorganic chemistry; Materials science; Organic chemistry; Electrode","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":[0.0004415938,0.0003145294,0.0005307376,0.0003013797,0.0003642624,0.0008755352,0.0004752802,0.0006022976,0.0009471451],"category_scores_gemma":[0.0006609748,0.0001538904,0.0003794565,0.000403536,0.0001838643,0.000637835,0.0002995158,0.0003790583,0.000222897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004523868,"about_ca_system_score_gemma":0.0005252786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003084353,"about_ca_topic_score_gemma":0.006945571,"domain_scores_codex":[0.9995099,0.00004449533,0.00002692197,0.00005628272,0.000316996,0.00004542479],"domain_scores_gemma":[0.9996468,0.0001352251,0.00001518635,0.00001989513,0.0001557699,0.00002721448],"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":[0.001002007,0.0001047216,0.0009234453,0.0001630267,0.00003308136,0.00005286295,0.00003438916,0.0006117885,0.9811926,0.000114764,0.00007129584,0.01569602],"study_design_scores_gemma":[0.00003478473,0.0006675828,0.003787327,0.000005245312,0.00004748496,0.00006848669,0.00006087307,0.002793522,0.9912162,0.00004254451,0.001267974,0.000007989104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949184,0.001733264,0.001699342,0.00007908168,0.00006062969,0.00001538796,0.0001068936,0.00002462917,0.001362357],"genre_scores_gemma":[0.9957372,0.0008096934,0.001671959,0.00002274204,0.0000114262,0.000009364852,0.0002174031,0.00001245339,0.001507788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003084353,"threshold_uncertainty_score":0.006132841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003728674951254283,"score_gpt":0.1862360004291869,"score_spread":0.1825073254779326,"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."}}