{"id":"W4402176912","doi":"10.1088/2053-1591/ad76fe","title":"Ultrasonic assisted removal of methyl orange and bovine serum albumin from wastewater using modified activated carbons: RSM optimization and reusability","year":2024,"lang":"en","type":"article","venue":"Materials Research Express","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Higher Education Commision, Pakistan; National University of Sciences and Technology; Higher Education Commission, Pakistan","keywords":"Adsorption; Response surface methodology; Central composite design; Activated carbon; Chemistry; Bovine serum albumin; Langmuir adsorption model; Wastewater; Methyl orange; Sonication; Nuclear chemistry; Chromatography; Chemisorption; Organic chemistry; Environmental engineering; Photocatalysis; Catalysis","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":[0.0003265939,0.0005402953,0.0004452997,0.000514103,0.0001451175,0.0004014142,0.0003896152,0.0006174492,0.0004646899],"category_scores_gemma":[0.0005092422,0.000186424,0.0004776289,0.0003714086,0.0001906784,0.0002365171,0.0002175957,0.0003448861,0.0002153425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115694,"about_ca_system_score_gemma":0.0002291344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427794,"about_ca_topic_score_gemma":0.002830525,"domain_scores_codex":[0.9997273,0.00003712537,0.0000259161,0.00004298535,0.0001356172,0.00003104989],"domain_scores_gemma":[0.9998347,0.00003025564,0.00003733932,0.00001624667,0.00006656282,0.00001494045],"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":[0.00002814627,0.00002091505,0.0001004944,0.00005601681,0.000007496988,0.00002340343,0.00000747793,0.0003936887,0.9971432,0.00001971518,0.00002306858,0.002176329],"study_design_scores_gemma":[0.000006726906,0.0001741994,0.001736684,0.00000506177,0.00001919363,0.00004848585,0.00001537271,0.005357046,0.9918603,0.00001780773,0.0007469837,0.000012257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926828,0.001390577,0.004948008,0.00007115149,0.00002091056,0.00004021816,0.0001158387,0.0001016323,0.0006288874],"genre_scores_gemma":[0.9843252,0.0007440002,0.0134746,0.00003113367,0.00001097781,0.00005507033,0.000162729,0.00003226565,0.001163966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001427794,"threshold_uncertainty_score":0.00283891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06294910332266189,"score_gpt":0.3246428617921648,"score_spread":0.2616937584695029,"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."}}