{"id":"W7077062983","doi":"10.1016/j.seppur.2025.134775","title":"Deep eutectic solvent-assisted valorization of bamboo biomass into functional biochar for sustainable wastewater treatment","year":2025,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China; Foundation of Jiangsu Collaborative Innovation Center of Biomedical Functional Materials","keywords":"Biochar; Adsorption; Cationic polymerization; Biomass (ecology); Bamboo; Specific surface area; Endothermic process; Eutectic system","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":[0.0001298534,0.00009707055,0.0001235211,0.0003114914,0.0002000346,0.00003857434,0.000144374,0.0001633433,0.00001023117],"category_scores_gemma":[0.0001461609,0.00008885176,0.00003306439,0.0005929195,0.00007118178,0.0001540162,0.00004404054,0.00003354444,0.000003817105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005694735,"about_ca_system_score_gemma":0.00008323726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057693,"about_ca_topic_score_gemma":0.000005425202,"domain_scores_codex":[0.9992449,0.00002296182,0.0002384468,0.0002970176,0.00005549855,0.0001411433],"domain_scores_gemma":[0.9990337,0.00004427202,0.0001253901,0.0002876233,0.0004894385,0.00001959777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003517722,0.0001440966,0.0004605286,0.0002265574,0.00005337068,7.403626e-7,0.0002069721,0.0001786013,0.3010208,0.6838589,0.0005990089,0.01321522],"study_design_scores_gemma":[0.0007142344,0.0002124195,0.0009856656,0.00001267814,0.00002396047,0.000004249595,0.0004375225,0.0200283,0.81647,0.1163523,0.04463385,0.0001247872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03198132,0.0004616474,0.9544063,0.01130469,0.0001666633,0.0004928389,0.000001037432,0.0001788792,0.001006614],"genre_scores_gemma":[0.9889348,0.00003124544,0.005918129,0.00003814667,0.00001670451,0.0002379879,0.00006709917,0.000001680653,0.004754257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569534,"threshold_uncertainty_score":0.3623269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383050972703606,"score_gpt":0.2583590733132637,"score_spread":0.2445285635862277,"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."}}