{"id":"W4402910050","doi":"10.1016/j.ijbiomac.2024.136121","title":"Cellulose / waste Cu2+-activated carbon composite: A sustainable and green material for boosting laccase activity and degradation of bisphenol A in wastewater","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Qilu University of Technology; Foundation of Liaoning Province Education Administration","keywords":"Laccase; Cellulose; Bisphenol A; Degradation (telecommunications); Activated carbon; Chemistry; Boosting (machine learning); Composite number; Wastewater; Pulp and paper industry; Lignin; Waste management; Organic chemistry; Materials science; Composite material; Enzyme; Epoxy; Adsorption; Engineering; Computer science","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":[0.0003185011,0.000116185,0.0001938863,0.00007238632,0.00002712325,0.0001002829,0.0001359669,0.0001013047,0.00001547896],"category_scores_gemma":[0.0001316073,0.0000501026,0.00005184672,0.0001314118,0.0000722121,0.0001861096,0.00009095985,0.0001128801,1.625986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004644304,"about_ca_system_score_gemma":0.00001202964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005638149,"about_ca_topic_score_gemma":0.00005391793,"domain_scores_codex":[0.99907,0.0001005712,0.00033694,0.0001770291,0.0001611179,0.0001543506],"domain_scores_gemma":[0.9992321,0.0003214576,0.0001894708,0.00001845878,0.0001859698,0.00005253651],"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":[0.0005293077,0.00006464712,0.002089061,0.00002971252,0.00003777394,0.0001150102,0.00006400543,0.000004321881,0.9743914,0.0002492229,0.000005073332,0.02242044],"study_design_scores_gemma":[0.0005558303,0.0008120997,0.01670005,0.0001976238,0.00002290463,0.000179245,0.0004444143,0.001838395,0.9762835,0.002633231,0.00016927,0.0001634257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984007,0.0002555652,0.00003377393,0.0008862182,0.0001511651,0.0001658699,0.00007084918,0.00001319169,0.00002261583],"genre_scores_gemma":[0.9993409,0.00008013431,0.0003126859,0.00002063641,0.0001446236,0.000006384626,0.00005704647,0.000001713382,0.00003589667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225701,"threshold_uncertainty_score":0.2043125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626867430265624,"score_gpt":0.244544257123512,"score_spread":0.2282755828208558,"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."}}