{"id":"W2920117208","doi":"10.3389/fenrg.2019.00017","title":"Electric Stimulation of Ammonotrophic Methanogenesis","year":2019,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Samsung Advanced Institute of Technology","keywords":"Wastewater; Methanogenesis; Electrolysis; Methane; Nitrogen; Ammonium; Chemical oxygen demand; Chemistry; Pulp and paper industry; Microbial fuel cell; Environmental chemistry; Anode; Waste management; Environmental science; Electrolyte; Environmental engineering; 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":[0.000687095,0.00006070234,0.0001228872,0.0002251303,0.00002859395,0.000007836357,0.0002031716,0.00007978493,0.0007199306],"category_scores_gemma":[0.00003293112,0.00005566265,0.00003161331,0.001043398,0.00005979974,0.00009110576,0.00009188992,0.00010483,0.00007821963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028815,"about_ca_system_score_gemma":0.00001908039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001132934,"about_ca_topic_score_gemma":0.00008380626,"domain_scores_codex":[0.9987067,0.0001835455,0.0001667068,0.0002242309,0.0004399289,0.000278917],"domain_scores_gemma":[0.9996739,0.00004258846,0.00003843125,0.0001843804,0.00001997553,0.00004072298],"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":[0.00007794536,0.00006093933,0.4027887,0.00001214492,0.000005361796,0.000001279637,0.0000585798,0.01633417,0.5473303,0.00008108883,0.004086864,0.02916265],"study_design_scores_gemma":[0.001024083,0.0004246143,0.3083953,0.00002451109,0.00000778247,0.000001095366,0.0001048858,0.1225556,0.5337838,0.004507523,0.02884293,0.0003279343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926935,0.0003104591,0.001621186,0.00004468311,0.000195216,0.0001232844,0.000001017545,0.000006108146,0.005004475],"genre_scores_gemma":[0.9957334,0.0003723614,0.00243374,0.00001301349,0.00002497622,0.000007159461,0.000008038072,0.00000878614,0.001398463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062214,"threshold_uncertainty_score":0.7882735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479268799221912,"score_gpt":0.2601861227458697,"score_spread":0.2453934347536506,"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."}}