{"id":"W2986485207","doi":"10.1016/j.snb.2019.127432","title":"Development of a xurographically fabricated miniaturized low-cost, high-performance microbial fuel cell and its application for sensing biological oxygen demand","year":2019,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs; Canada First Research Excellence Fund; Ministry of Science and Technology of the People's Republic of China; National Key Research and Development Program of China; China Scholarship Council; Ontario Research Foundation","keywords":"Biochemical oxygen demand; Microbial fuel cell; Wastewater; Sewage treatment; Fabrication; Chemical oxygen demand; Pulp and paper industry; Environmental science; Chemistry; Environmental engineering; Engineering; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001728705,0.0003362871,0.0002776185,0.0001603465,0.000195693,0.0003736323,0.0006680195,0.0006116501,0.0009708456],"category_scores_gemma":[0.0001874407,0.0002919045,0.0002305149,0.0001453986,0.0001991157,0.0004972455,0.000210011,0.0004848914,0.0005822543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231313,"about_ca_system_score_gemma":0.0003956103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004932854,"about_ca_topic_score_gemma":0.0009613512,"domain_scores_codex":[0.9999053,0.000005008506,0.000005664649,0.00003112955,0.00004046468,0.00001237499],"domain_scores_gemma":[0.9999129,0.00001525949,0.00002384433,0.00001322424,0.00002102728,0.00001382259],"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":[0.00001298144,0.00001260897,0.00003954738,0.00004911355,0.000002498668,0.00003984497,0.000009516984,0.0001138942,0.9963321,0.0002203646,0.0001127071,0.003054924],"study_design_scores_gemma":[0.000007063742,0.0001056277,0.0003469256,0.000002458821,0.000004798214,0.00009416867,0.000007524228,0.00144846,0.994374,0.00001967031,0.003582599,0.000006722135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8617507,0.00461731,0.121038,0.0007588071,0.0004204644,0.0002606133,0.001080592,0.001591973,0.008481469],"genre_scores_gemma":[0.7895494,0.001730175,0.1969038,0.0001915638,0.00007234485,0.0001915562,0.0007191499,0.0001381962,0.01050377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009708456,"threshold_uncertainty_score":0.003247797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006033164293474671,"score_gpt":0.1850516534641685,"score_spread":0.1790184891706938,"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."}}