{"id":"W2018573523","doi":"10.1016/j.cherd.2012.01.003","title":"Optimization of aqueous p-aminophenol degradation by external-loop airlift sonophotoreactor using response surface methodology","year":2012,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Response surface methodology; Central composite design; Hydrogen peroxide; Chemistry; Aqueous solution; Degradation (telecommunications); Mineralization (soil science); Analytical Chemistry (journal); Quadratic model; Volumetric flow rate; Chromatography; Nuclear chemistry; Nitrogen; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.000464377,0.0001912259,0.0001755255,0.00003082828,0.0001916059,0.000009059337,0.00007037664,0.0001104887,0.0004207273],"category_scores_gemma":[0.00003542459,0.0001849263,0.0000296376,0.000109227,0.0002329582,0.0008247559,0.00007480265,0.0001041748,0.00001781354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004284681,"about_ca_system_score_gemma":0.000004751685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002460038,"about_ca_topic_score_gemma":0.000002441874,"domain_scores_codex":[0.9986171,0.000274993,0.000309553,0.0003044208,0.000240143,0.0002538016],"domain_scores_gemma":[0.9994224,0.00005537922,0.0002732956,0.0001435756,0.000003432393,0.0001018694],"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":[0.001044259,0.0002354901,0.01192321,0.0000227499,0.00001433261,4.093996e-7,0.0006871552,0.3234182,0.653193,0.000001650428,8.846547e-7,0.009458648],"study_design_scores_gemma":[0.001493779,0.000422163,0.01494462,0.00003800545,0.00009559948,0.00007914223,0.001152986,0.1300178,0.8505909,0.000159274,0.0004590299,0.0005466999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5734572,0.0001518818,0.4258789,0.00003136985,0.0000426854,0.000378438,0.0000195241,0.00002016378,0.00001992531],"genre_scores_gemma":[0.9708528,0.00009659629,0.02867291,0.00002354647,0.00001321096,0.0000326789,0.000046196,0.0000245702,0.00023753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3973956,"threshold_uncertainty_score":0.7541077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974480933239343,"score_gpt":0.2590257403201309,"score_spread":0.2292809309877374,"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."}}