{"id":"W2971622111","doi":"10.1016/j.biortech.2019.122103","title":"Application of radial basis function artificial neural network to quantify interfacial energies related to membrane fouling in a membrane bioreactor","year":2019,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Radial basis function; Fouling; Artificial neural network; Membrane; Membrane bioreactor; Membrane fouling; Biological system; Bioreactor; Chemical engineering; Chemistry; Chromatography; Artificial intelligence; Computer science; Engineering; Biochemistry","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":[0.0005870747,0.0004254121,0.0003821176,0.000441214,0.0002569006,0.0003635937,0.0003049367,0.0006229375,0.0002359659],"category_scores_gemma":[0.0006884093,0.0001520355,0.0002853506,0.0003172607,0.0001641944,0.0003275462,0.0001995211,0.0002912256,0.00006829901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371711,"about_ca_system_score_gemma":0.0002589715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335043,"about_ca_topic_score_gemma":0.003081945,"domain_scores_codex":[0.9998791,0.00003761774,0.000007353148,0.00002696023,0.00003933911,0.000009528303],"domain_scores_gemma":[0.9997365,0.0001058485,0.00003061693,0.00001214231,0.0001053559,0.000009506379],"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":[0.001002077,0.0005317373,0.012219,0.0002621698,0.0001631497,0.0002417752,0.0000896997,0.4162273,0.3969418,0.0008305676,0.0003776682,0.171113],"study_design_scores_gemma":[0.000004663942,0.00006778083,0.00190918,0.000002625566,0.00001472456,0.00001513399,0.000008182072,0.9777044,0.02011037,0.00008918302,0.00006312828,0.00001048715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448625,0.0005785403,0.1522981,0.0001447103,0.00005449621,0.00003624321,0.00007484508,0.0003562639,0.001594441],"genre_scores_gemma":[0.9785385,0.000118996,0.02078361,0.00001826497,0.000005417374,0.00001371079,0.00002386681,0.000008699933,0.0004890327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00335043,"threshold_uncertainty_score":0.006661892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079724526108013,"score_gpt":0.2396730363871254,"score_spread":0.2288757911260453,"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."}}