{"id":"W4280562319","doi":"10.1016/j.envadv.2022.100243","title":"Application of laccase and hydrolases for trace organic contaminants removal from contaminated water","year":2022,"lang":"en","type":"article","venue":"Environmental Advances","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laccase; Chemistry; Lipase; Contamination; Hydrolase; Cellulase; Environmental chemistry; Urease; Chromatography; Enzyme; Biochemistry; Biology","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":[0.00008724185,0.00008532894,0.0001162256,0.000006573533,0.0001747327,0.000006148459,0.00009224338,0.00002488032,0.0003825907],"category_scores_gemma":[0.000007587274,0.00003756015,0.00002622555,0.00004241355,0.00005887257,0.0001433163,0.00006737451,0.00004953325,0.000005865068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362726,"about_ca_system_score_gemma":8.448429e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007059317,"about_ca_topic_score_gemma":0.0001085407,"domain_scores_codex":[0.999316,0.0000434889,0.0001566572,0.0002286732,0.0001343513,0.0001208235],"domain_scores_gemma":[0.9996973,0.0001441175,0.00008583732,0.00003718889,0.000002858094,0.00003269058],"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":[0.00007021573,0.00009188527,0.006338838,0.000002341998,0.000005573405,0.000002015689,0.0000884596,0.00001240831,0.9237549,0.000007353234,0.00001043804,0.06961562],"study_design_scores_gemma":[0.0007840805,0.0006602382,0.09431905,0.000004307626,0.000035025,0.00001855761,0.002317114,0.0008316797,0.8268,0.0005714096,0.0734289,0.0002296659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976354,0.001163701,0.00006023,0.0001422357,0.00004957184,0.0003222443,0.0005964256,0.00001809764,0.00001210071],"genre_scores_gemma":[0.9983183,0.0001201855,0.0001396838,0.00004914507,0.00003667894,0.00008872876,0.001127937,0.000001486652,0.0001178277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09695487,"threshold_uncertainty_score":0.41891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004541071947025412,"score_gpt":0.1785473126619755,"score_spread":0.1740062407149501,"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."}}