{"id":"W2035064945","doi":"10.1016/j.jhazmat.2011.02.004","title":"Parameter optimization of ferro-sonication pre-treatment process for degradation of bisphenol A and biodegradation from wastewater sludge using response surface model","year":2011,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sonication; Biodegradation; Response surface methodology; Chemistry; Bisphenol A; Central composite design; Degradation (telecommunications); Wastewater; Chemical oxygen demand; Organic matter; Chromatography; Sewage treatment; Nuclear chemistry; Pulp and paper industry; Chemical engineering; Waste management; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002440287,0.0004589908,0.0004138525,0.0002295032,0.0001692845,0.0003464897,0.0002876442,0.0004299612,0.0005619226],"category_scores_gemma":[0.0003044632,0.0001911069,0.0005805801,0.0002203829,0.0001001983,0.0002542146,0.0001988922,0.000302001,0.0001510029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447847,"about_ca_system_score_gemma":0.0003280619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941203,"about_ca_topic_score_gemma":0.002548146,"domain_scores_codex":[0.9998826,0.00002239711,0.00001471584,0.00002579077,0.00003647704,0.0000180647],"domain_scores_gemma":[0.9999107,0.00003470479,0.00001963523,0.000007557715,0.00002243428,0.000004952076],"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":[0.0003535749,0.0001897856,0.0005522372,0.0001572839,0.00002490758,0.00003225519,0.0000303274,0.01832508,0.9721406,0.00008936427,0.00005827246,0.008046334],"study_design_scores_gemma":[0.00001830087,0.0004364462,0.001156965,0.000003545485,0.00003185865,0.0000169876,0.00002222262,0.05143625,0.9464754,0.00003622124,0.0003549111,0.00001090156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868588,0.0003288622,0.01201071,0.00006509041,0.0000154039,0.00002864521,0.00009926305,0.00009037142,0.0005027654],"genre_scores_gemma":[0.9946209,0.0002786723,0.004388274,0.000009477933,0.000002009461,0.00003448007,0.00009279279,0.000008790091,0.000564576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001941203,"threshold_uncertainty_score":0.003859818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672576198712563,"score_gpt":0.2648987273206204,"score_spread":0.2181729653334947,"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."}}