{"id":"W4412982073","doi":"10.1016/j.jobab.2025.07.004","title":"Corrigendum to “Remediation and resource utilization of Cr(Ⅲ), Al(Ⅲ) and Zr(Ⅳ)-containing tannery effluent based on chitosan-carboxymethyl cellulose aerogel” [Journal of Bioresources and Bioproducts, 10 (2025) 77-91]","year":2025,"lang":"en","type":"erratum","venue":"Journal of Bioresources and Bioproducts","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Quanzhou City Science and Technology Program; National Natural Science Foundation of China","keywords":"Bioproducts; Carboxymethyl cellulose; Chitosan; Environmental remediation; Aerogel; Effluent; Chemistry; Cellulose; Pulp and paper industry; Nuclear chemistry; Chemical engineering; Waste management; Materials science; Nanotechnology; Organic chemistry; Biofuel; Engineering; Contamination; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00259558,0.003183985,0.004062357,0.003823455,0.004196754,0.002709005,0.004420319,0.008637744,0.09250478],"category_scores_gemma":[0.01461878,0.001397341,0.002935834,0.00319404,0.001899793,0.002417053,0.00236496,0.005872443,0.04832776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004750031,"about_ca_system_score_gemma":0.005700786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04066613,"about_ca_topic_score_gemma":0.07281619,"domain_scores_codex":[0.9968568,0.0002470823,0.0005447967,0.0005443691,0.001454148,0.0003528287],"domain_scores_gemma":[0.9900879,0.001338281,0.0004311652,0.0007550922,0.006859583,0.0005280511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005190577,0.0000221912,0.00005230464,0.0002543007,0.00001725443,0.0002385489,0.00001546607,0.00007571904,0.0003683091,0.0003998335,0.991618,0.006886238],"study_design_scores_gemma":[0.00006134493,0.00008916445,0.002386689,0.000215697,0.0001047132,0.0003279966,0.00007978988,0.0004022425,0.002162075,0.0009810168,0.9931149,0.00007437716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001563933,0.001308498,0.0003963369,0.01671945,0.9762216,0.00004371207,0.0007821638,0.0002707641,0.004101099],"genre_scores_gemma":[0.01174,0.01773163,0.004881848,0.07278904,0.2523185,0.0003304958,0.007015034,0.0008541554,0.6323392],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09250478,"threshold_uncertainty_score":0.3094593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789947998779634,"score_gpt":0.2672586607057949,"score_spread":0.2293591807179985,"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."}}