{"id":"W4408673873","doi":"10.14447/jnmes.v28i1.a08","title":"A Novel Robust Control for Disturbed Uncertain Microbial Fuel Cell with Noisy Output","year":2025,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Microbial fuel cell; Control (management); Computer science; Biochemical engineering; Control theory (sociology); Artificial intelligence; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584867,0.0008829924,0.0009652016,0.0002504531,0.0004563625,0.001160501,0.001321992,0.001037028,0.001584978],"category_scores_gemma":[0.0007911884,0.0003414002,0.0006634042,0.0003031436,0.0006295633,0.0005675117,0.000881673,0.0006394897,0.0002574805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932513,"about_ca_system_score_gemma":0.0005563746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494029,"about_ca_topic_score_gemma":0.003222262,"domain_scores_codex":[0.9994215,0.0000785858,0.00003611141,0.000197214,0.0002041092,0.00006260567],"domain_scores_gemma":[0.9997328,0.00007940761,0.00004953606,0.0000266141,0.00009727618,0.00001432913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008461998,0.000156615,0.0009089686,0.0007101769,0.0003167263,0.0007874375,0.0002754133,0.6900403,0.1329578,0.02025404,0.002595275,0.1501511],"study_design_scores_gemma":[0.00002768462,0.0001934738,0.0002305988,0.000007079347,0.0000296411,0.00004791705,0.000007487471,0.9928778,0.00486101,0.0007700159,0.0009316998,0.00001568179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03035052,0.0008066994,0.9627884,0.0002229342,0.0003029257,0.000058241,0.000063719,0.0003567588,0.005049798],"genre_scores_gemma":[0.9678507,0.0002425362,0.02842257,0.00009658745,0.00009415648,0.0000674237,0.00006106032,0.00002778858,0.00313718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003494029,"threshold_uncertainty_score":0.006947398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009214899833196934,"score_gpt":0.2102553669394518,"score_spread":0.2010404671062548,"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."}}