{"id":"W4408707783","doi":"10.1007/s11356-025-36294-7","title":"Effect of increased cathodic nitrogen levels on anodic COD removal efficiency and bioelectricity generation in microbial fuel cells","year":2025,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Microbial fuel cell; Cathodic protection; Nitrogen; Ecotoxicology; Anode; Environmental chemistry; Chemistry; Environmental science; 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":[0.0004613059,0.0003235993,0.0003102358,0.0001712212,0.0002080971,0.0006668424,0.0004737147,0.0005084557,0.001231512],"category_scores_gemma":[0.000933759,0.0002308714,0.0002452752,0.0002479172,0.0003359597,0.0005362966,0.0002321492,0.0004249921,0.0001745546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766572,"about_ca_system_score_gemma":0.0002535888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762267,"about_ca_topic_score_gemma":0.002101531,"domain_scores_codex":[0.9996581,0.0000855304,0.0000474888,0.00006606176,0.00008090505,0.00006177991],"domain_scores_gemma":[0.999442,0.0002674673,0.00007162033,0.00003997025,0.0001150656,0.00006385335],"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":[0.003986696,0.0002783193,0.0006032832,0.0001508106,0.00004676437,0.000153597,0.00005706944,0.0007859709,0.9892535,0.00009458534,0.00007183791,0.004517571],"study_design_scores_gemma":[0.00003665648,0.0005208921,0.00125822,0.000005248608,0.00002149002,0.00003084905,0.00002276637,0.0009503571,0.9968382,0.00001684596,0.0002896586,0.000008864551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985285,0.0004136046,0.0003042989,0.00003320332,0.00002922068,0.000008386152,0.00006121679,0.00001051915,0.0006111345],"genre_scores_gemma":[0.9988255,0.0002094028,0.0004376712,0.00002488028,0.000006759121,0.000005941229,0.00005878559,0.000006620643,0.0004244667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001762267,"threshold_uncertainty_score":0.004119873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498661523761175,"score_gpt":0.2833252877787053,"score_spread":0.2683386725410936,"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."}}