{"id":"W4386607939","doi":"10.3390/su151813557","title":"A Review on Applications of Artificial Intelligence in Wastewater Treatment","year":2023,"lang":"en","type":"review","venue":"Sustainability","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Key Research and Development Program of Zhejiang Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Interpretability; Computer science; Process (computing); Artificial intelligence; Transparency (behavior); Data science; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008720714,0.0003147803,0.001142156,0.0001382684,0.00003787156,0.00000955224,0.0005867002,0.0001995472,0.00007175693],"category_scores_gemma":[0.0005787433,0.0002239403,0.0002766574,0.001148248,0.0003572405,0.00004100892,0.0004164009,0.0002315588,0.0004029898],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004009521,"about_ca_system_score_gemma":0.0001212858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006852088,"about_ca_topic_score_gemma":0.00007042501,"domain_scores_codex":[0.9975795,0.0002798641,0.0009579246,0.0006311513,0.0002154349,0.0003361802],"domain_scores_gemma":[0.9981443,0.0002594946,0.0002512868,0.00128032,0.00002378183,0.00004082249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001897199,0.0002038825,0.00003318766,0.03881278,0.000009958438,0.000004200326,0.0000510629,0.00001312547,6.252327e-8,0.0004078351,0.00004577844,0.9604163],"study_design_scores_gemma":[0.00001526891,0.0001712471,0.00002290016,0.01167936,0.0001299202,0.00000128512,0.0001359184,0.000003027314,0.00004849798,0.03973935,0.9477503,0.0003028965],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008063625,0.9944708,0.00004143613,0.0003233012,0.0000519536,0.004750125,0.00003136874,0.0001795842,0.0000707596],"genre_scores_gemma":[0.00009207914,0.9968102,0.0001675089,0.000005282111,0.00001956981,0.00267304,0.0000185617,0.00002478559,0.000188958],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9601133,"threshold_uncertainty_score":0.9998139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030020027011614,"score_gpt":0.3956068396245688,"score_spread":0.2926048369234074,"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."}}