{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002118351,0.0007986766,0.0003126677,0.0002201871,0.0001079752,0.0004228101,0.0004545395,0.0005900625,0.0002997463],"category_scores_gemma":[0.0001587573,0.0002180295,0.0003457315,0.0002675091,0.0002747995,0.0003946038,0.000426177,0.0005027405,0.0002276156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694757,"about_ca_system_score_gemma":0.0001822392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000501785,"about_ca_topic_score_gemma":0.0009399399,"domain_scores_codex":[0.9998428,0.00002043028,0.00001165401,0.0000363495,0.00005083596,0.00003782436],"domain_scores_gemma":[0.9999011,0.00001138319,0.00003908061,0.000009559732,0.00001434128,0.0000246061],"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":[0.00002172967,0.000006709496,0.00003171762,0.00002054467,0.000004028864,0.00001812995,0.00000596941,0.00002675615,0.9989912,0.00003128815,0.000009744929,0.0008322167],"study_design_scores_gemma":[0.00000271496,0.00003510029,0.000402391,7.234431e-7,0.000009003502,0.00005856817,0.000003265262,0.0002325333,0.998805,0.000007650887,0.0004400219,0.000002837848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699561,0.00338566,0.02524964,0.0001448691,0.00004989882,0.0000229394,0.0001083167,0.0001730488,0.0009094682],"genre_scores_gemma":[0.9846373,0.001244935,0.01068873,0.00006367586,0.00001609477,0.00002091391,0.0002167259,0.00004604263,0.003065561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007986766,"threshold_uncertainty_score":0.002680719,"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."}}