{"id":"W4224024405","doi":"10.1021/acsomega.2c00074","title":"Modeling of Textile Dye Removal from Wastewater Using Innovative Oxidation Technologies (Fe(II)/Chlorine and H<sub>2</sub>O<sub>2</sub>/Periodate Processes): Artificial Neural Network-Particle Swarm Optimization Hybrid Model","year":2022,"lang":"en","type":"article","venue":"ACS Omega","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"King Saud University","keywords":"Particle swarm optimization; Periodate; Artificial neural network; Wastewater; Chlorine; Biological system; Computer science; Textile; Chemistry; Materials science; Engineering; Algorithm; Artificial intelligence; Environmental engineering; Organic chemistry; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000406724,0.000246172,0.0003131425,0.0001053384,0.0006765149,0.00008538605,0.0002580503,0.00006607453,0.000004239625],"category_scores_gemma":[0.00006008181,0.0002470394,0.00004650982,0.001164765,0.0001708139,0.000668127,0.0008428658,0.0002556586,0.000003627654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173266,"about_ca_system_score_gemma":0.00003117967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003168734,"about_ca_topic_score_gemma":0.00001536518,"domain_scores_codex":[0.9978885,0.00008536228,0.0005722016,0.0005840388,0.0004474226,0.0004224591],"domain_scores_gemma":[0.9992839,0.00002960923,0.000228314,0.0003315861,0.00007352766,0.00005302386],"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":[0.00004868813,0.0000503388,0.0002580489,0.000007472649,0.00001900205,0.000003026779,0.0004092461,0.5255995,0.4718918,0.000004844384,0.000006882068,0.001701058],"study_design_scores_gemma":[0.0001235982,0.00003946327,0.00001309904,0.00001016455,0.00003271017,0.000004300956,0.000360135,0.5108338,0.4879685,0.0004625435,0.000002828587,0.0001488766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859002,0.00005526467,0.01332197,0.000207956,0.0001130653,0.0002008489,0.00003873236,0.000156514,0.000005516262],"genre_scores_gemma":[0.9963665,0.00004447297,0.003281524,0.00002456333,0.00008656923,0.00004342835,0.0001123734,0.00003371972,0.000006861762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607664,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277865539531914,"score_gpt":0.233842544332237,"score_spread":0.2060559903790456,"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."}}