{"id":"W2800674595","doi":"10.1016/j.cej.2018.04.162","title":"Degradation kinetics of chlortetracycline in wastewater using ultrasonication assisted laccase","year":2018,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Laccase; Chemistry; Trametes versicolor; Degradation (telecommunications); Sonication; Nuclear chemistry; Oxidizing agent; Wastewater; Chromatography; Chlortetracycline; Food science; Organic chemistry; Antibiotics; Waste management; Biochemistry; Enzyme","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":[],"consensus_categories":[],"category_scores_codex":[0.0001104275,0.00008548592,0.0001012916,0.00003104874,0.00001463302,0.00001165052,0.0001031553,0.00005137719,0.0003890813],"category_scores_gemma":[0.00009094182,0.00007358092,0.00003320977,0.0001474787,0.0001000117,0.000141275,0.00004506745,0.0001726296,0.00002002575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158799,"about_ca_system_score_gemma":0.000002418548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006790618,"about_ca_topic_score_gemma":4.493571e-7,"domain_scores_codex":[0.9992713,0.000008507428,0.0002648348,0.0001012255,0.0001650789,0.0001890902],"domain_scores_gemma":[0.9997033,0.00002548874,0.00006601379,0.00007541105,0.000004422308,0.0001253145],"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":[0.000009990224,0.000108628,0.00443345,0.000006098574,0.000003540863,0.000005236419,0.00002524571,0.003078083,0.9907347,0.00000190919,0.00001337441,0.001579768],"study_design_scores_gemma":[0.0003129204,0.00002765853,0.03053369,0.00004825051,0.00001009853,0.0001402237,0.000004802925,0.03981302,0.9288975,0.00001298239,0.0001133145,0.00008554925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932359,0.00001566875,0.006416241,0.00006649805,0.00007396875,0.00003609346,0.00000129564,0.000008113844,0.0001462321],"genre_scores_gemma":[0.983304,0.00001018508,0.01655121,0.00002672038,0.00008011833,2.028865e-7,0.000002586157,0.000009547646,0.00001546838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06183719,"threshold_uncertainty_score":0.4260167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623960328222876,"score_gpt":0.2724188627013596,"score_spread":0.2461792594191309,"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."}}