{"id":"W4377088897","doi":"10.1016/j.enzmictec.2023.110261","title":"Genipin and glutaraldehyde based laccase two-layers immobilization with improved properties: New biocatalysts with high potential for enzymatic removal of trace organic contaminants","year":2023,"lang":"en","type":"article","venue":"Enzyme and Microbial Technology","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Université de Sherbrooke","keywords":"Glutaraldehyde; Genipin; Laccase; Biocatalysis; Chemistry; Immobilized enzyme; Layer (electronics); Chitosan; Organic chemistry; Chemical engineering; Catalysis; Chromatography; Enzyme; Ionic liquid","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":[0.0001274402,0.0001896098,0.0002778999,0.00009453734,0.0001377898,0.00002759939,0.0001357156,0.0001928888,0.00001720462],"category_scores_gemma":[0.00005758433,0.00008181925,0.00002514801,0.0007614,0.0002044438,0.0001196948,0.00004595395,0.00009667446,0.000003327504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205828,"about_ca_system_score_gemma":0.00004826028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003780648,"about_ca_topic_score_gemma":0.001931932,"domain_scores_codex":[0.9989692,0.0000296384,0.000247418,0.0003834751,0.00008242969,0.0002878642],"domain_scores_gemma":[0.9995416,0.0000509715,0.0001645189,0.00008911669,0.00009123333,0.0000624906],"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":[0.0003332597,0.00004131264,0.0001219298,0.00004844731,0.00002745166,0.000016396,0.00006949697,0.00001989405,0.9901067,0.00005610855,0.0001645094,0.008994488],"study_design_scores_gemma":[0.002504095,0.001488948,0.001132961,0.0001041608,0.00009295835,0.0002010241,0.0005608765,0.001605347,0.9914245,0.00008510129,0.0005337959,0.0002662159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965982,0.0003298577,0.000644687,0.001359008,0.00005139893,0.0007714001,0.0000538983,0.0001901272,0.000001447522],"genre_scores_gemma":[0.9980546,0.00005021127,0.001359806,0.00005429587,0.00005586986,0.00003236781,0.0001970831,0.000005858011,0.0001898943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008728272,"threshold_uncertainty_score":0.3336492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008943607852709569,"score_gpt":0.1918868889470552,"score_spread":0.1829432810943457,"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."}}