{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002064823,0.0005571258,0.0003530739,0.0002388911,0.0001662842,0.0003958145,0.0001980323,0.0004827236,0.0004257697],"category_scores_gemma":[0.0002478886,0.0001558176,0.0004183675,0.0002751519,0.0001893186,0.0002516581,0.000295659,0.0004034456,0.0001188881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663793,"about_ca_system_score_gemma":0.0002408175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491758,"about_ca_topic_score_gemma":0.002145865,"domain_scores_codex":[0.999707,0.00004527544,0.00001761999,0.00006731907,0.0001112322,0.00005145805],"domain_scores_gemma":[0.9998964,0.00001213686,0.00003035439,0.00001029003,0.00003006468,0.00002068758],"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":[0.00003179957,0.00001242448,0.00007649251,0.00002966826,0.000005582736,0.00003187152,0.000004422192,0.00004701752,0.9986138,0.00001053573,0.000006358107,0.001129992],"study_design_scores_gemma":[0.000003992084,0.0002236932,0.0007917028,0.000002049181,0.00001256622,0.0000779601,0.00001185631,0.0003410081,0.9980422,0.000009175854,0.000480342,0.000003290953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907327,0.003016909,0.005215324,0.000114084,0.00003094436,0.00003292914,0.00009583351,0.00004964765,0.0007115853],"genre_scores_gemma":[0.9930488,0.0009975696,0.00432009,0.00003283696,0.0000102023,0.00001846672,0.00009221296,0.000007377061,0.001472537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001491758,"threshold_uncertainty_score":0.002966225,"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."}}