{"id":"W4408964059","doi":"10.1016/j.jece.2025.116277","title":"3D-printed single-chamber microbial fuel cell biosensor reliably measures nitrates in environmental waters","year":2025,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Australian Research Council","keywords":"Microbial fuel cell; Biosensor; Single chamber; Environmental science; Environmental chemistry; Chemistry; Materials science; Nanotechnology; Electrode; Biomedical engineering; 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":[0.0002357844,0.000377447,0.0005317656,0.0003053271,0.0001438682,0.0005457925,0.0007477027,0.001041164,0.000507871],"category_scores_gemma":[0.0004615845,0.0002198733,0.0005317108,0.0001762843,0.0001863846,0.0003729508,0.0002487463,0.0002784482,0.0005054448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526124,"about_ca_system_score_gemma":0.0002406727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009956226,"about_ca_topic_score_gemma":0.002186235,"domain_scores_codex":[0.9995956,0.00002968995,0.00001991492,0.00009815027,0.0002283569,0.00002842648],"domain_scores_gemma":[0.9997665,0.0000530228,0.00004496855,0.00002521271,0.00009182889,0.00001856983],"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":[0.00001551746,0.0000102287,0.000281757,0.00003690044,0.000005796025,0.00005491914,0.00000767992,0.0005423864,0.9942203,0.00002180199,0.00003417638,0.004768651],"study_design_scores_gemma":[0.000002771525,0.00006743836,0.001277653,0.000004017655,0.00001232561,0.0001843661,0.00001408185,0.006887669,0.9902443,0.00002212006,0.001268283,0.00001499337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296498,0.001476673,0.06497578,0.0002130607,0.0001641612,0.00004587044,0.0004621493,0.0006706813,0.002341836],"genre_scores_gemma":[0.9144053,0.001035467,0.08025926,0.0001326085,0.0000225553,0.00006361333,0.0004030958,0.00006097639,0.003617051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041164,"threshold_uncertainty_score":0.002558351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003740272344349683,"score_gpt":0.1566492921817555,"score_spread":0.1529090198374058,"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."}}