{"id":"W4417453238","doi":"10.1007/s11696-025-04416-7","title":"Hybrid approach for enhanced synthesis and efficiency prediction of sulfur–nitrogen co-doped Fe2O3 nanostructures in methylene blue dye removal processes","year":2025,"lang":"en","type":"article","venue":"Chemical Papers","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Methylene blue; Nanostructure; Particle swarm optimization; Artificial neural network; Process (computing); MATLAB; Wastewater","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":[0.0001275848,0.000225691,0.0002278045,0.0002046924,0.0001541572,0.0002650073,0.0002945572,0.0003936632,0.0004552562],"category_scores_gemma":[0.0001259019,0.0001657398,0.0003173351,0.0001559706,0.0001064335,0.0002519481,0.0001933241,0.0001770872,0.0001178843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376361,"about_ca_system_score_gemma":0.0001437567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308816,"about_ca_topic_score_gemma":0.002583691,"domain_scores_codex":[0.9999214,0.00000649094,0.000003098109,0.00002190887,0.00003687225,0.00001025535],"domain_scores_gemma":[0.9999548,0.0000164701,0.00000693457,0.000004934041,0.00001415189,0.000002714816],"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":[0.00009493133,0.00004523855,0.0006063953,0.00009943075,0.00002605677,0.00006665096,0.00002465058,0.01871726,0.9721661,0.0008949199,0.00008110968,0.007177349],"study_design_scores_gemma":[0.000008008607,0.0001015239,0.001089873,0.00000361606,0.00002494587,0.0000495026,0.00001845175,0.4152808,0.5824084,0.0003039626,0.0006948261,0.00001620715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8925546,0.0008001237,0.1026422,0.00007475216,0.0000394954,0.00002996093,0.0001727638,0.0003176444,0.003368504],"genre_scores_gemma":[0.9846934,0.0001456187,0.01427476,0.00001112069,0.000003837172,0.00001684181,0.00005111235,0.00001302195,0.0007902749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001308816,"threshold_uncertainty_score":0.002730668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008423073697502795,"score_gpt":0.2543689349649563,"score_spread":0.2459458612674535,"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."}}