{"id":"W4239639153","doi":"10.32920/14668935","title":"Photocatalytic Treatment of An Actual Confectionery Wastewater Using Ag/TiO2/Fe2O3: Optimization of Photocatalytic Reactions Using Surface Response Methodology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photocatalysis; Response surface methodology; Wastewater; Titanium dioxide; Mineralization (soil science); Central composite design; Degradation (telecommunications); Pollutant; Materials science; Total organic carbon; Chemical engineering; Pulp and paper industry; Chemistry; Environmental chemistry; Chromatography; Environmental engineering; Catalysis; Environmental science; Composite material; Organic chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001467267,0.0008116555,0.001959611,0.0006342891,0.0001961694,0.0001183314,0.0003666026,0.0009339924,0.001363533],"category_scores_gemma":[0.0002238526,0.0007689259,0.0008337758,0.0006255558,0.0003147845,0.0003770186,0.0003399674,0.0003904561,0.000008348099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886989,"about_ca_system_score_gemma":0.001060246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03733398,"about_ca_topic_score_gemma":0.000922434,"domain_scores_codex":[0.9935411,0.002233132,0.001895514,0.001286379,0.0004972093,0.0005467285],"domain_scores_gemma":[0.9948826,0.000765486,0.001398814,0.002080604,0.0006403718,0.0002321212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006665273,0.0006136812,0.00001962158,0.0001519766,0.0006185306,0.00001598864,0.001245914,0.5454037,0.4511515,0.00002484559,0.000001357506,0.00008633918],"study_design_scores_gemma":[0.0007890002,0.0002564419,0.00002276779,0.0001410955,0.0009815743,0.00009075973,0.001609387,0.3839407,0.6115544,0.00004848112,0.0001177265,0.0004477269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457797,0.0001891747,0.05106726,0.00001363785,0.0007151646,0.001456685,0.0001003428,0.0001068754,0.0005711294],"genre_scores_gemma":[0.8912863,0.0001531086,0.1057058,0.00001467865,0.0001046678,0.00006476078,0.001284831,0.0001554695,0.001230375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.161463,"threshold_uncertainty_score":0.9995493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182015825011041,"score_gpt":0.3402619188175725,"score_spread":0.2220603363164683,"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."}}