{"id":"W4400156581","doi":"10.1016/j.colsurfa.2024.134653","title":"Green synthesis of Cr-BDC@ɣ-Al2O3 granular adsorbents for effective removal of monoethylene glycol (MEG) from industrial wastewater","year":2024,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Wastewater; Adsorption; Industrial wastewater treatment; Chemical engineering; Pulp and paper industry; Chemistry; Materials science; Environmental science; Organic chemistry; Environmental engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009520515,0.0003865134,0.000345255,0.000371115,0.0002306232,0.0002915849,0.0002728153,0.0004666728,0.000823272],"category_scores_gemma":[0.0001048622,0.0002153269,0.0004679434,0.0003125401,0.0001790587,0.0001871378,0.0002781145,0.0003905164,0.0003838077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004085871,"about_ca_system_score_gemma":0.0002715823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541096,"about_ca_topic_score_gemma":0.003693201,"domain_scores_codex":[0.9998615,0.000007397492,0.00001071242,0.00002478484,0.00005147208,0.00004411399],"domain_scores_gemma":[0.9999549,0.000004460767,0.00001029011,0.00000466437,0.00001340777,0.00001238824],"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":[0.00003694037,0.00001916635,0.00004526279,0.00005559168,0.000004947995,0.000040815,0.000009677509,0.0001734799,0.9979612,0.00007410892,0.00004968946,0.001529167],"study_design_scores_gemma":[0.00001102883,0.00008217708,0.0007441767,0.000002761768,0.00001174419,0.00003868555,0.000011366,0.001465058,0.9966138,0.00003060766,0.0009810077,0.000007476933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868116,0.0008003046,0.009194191,0.0001070994,0.0000807812,0.00007185322,0.0002720322,0.0003644282,0.002297649],"genre_scores_gemma":[0.9912335,0.0002846831,0.005710952,0.00006281727,0.000008992166,0.00003836627,0.0001573899,0.00002891782,0.002474351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001541096,"threshold_uncertainty_score":0.003064215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007559312461595098,"score_gpt":0.1986194988588869,"score_spread":0.1910601863972918,"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."}}