{"id":"W2019271597","doi":"10.1016/j.cej.2010.12.005","title":"Optimization of copper removal efficiency by adsorption on amine-modified SBA-15: Experimental design methodology","year":2010,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs; Australian Government","keywords":"Factorial experiment; Adsorption; Central composite design; Response surface methodology; Copper; Quadratic model; Fractional factorial design; Design of experiments; Amine gas treating; Curvature; Mathematics; Materials science; Chemistry; Chromatography; Statistics; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004626639,0.0001887139,0.0002068058,0.00007126058,0.00005156704,0.00002381414,0.0002298885,0.0001943789,0.001500892],"category_scores_gemma":[0.000207399,0.0001644029,0.0001095548,0.0001873512,0.0001352994,0.0001313299,0.00005434767,0.0005078012,0.00004948997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119817,"about_ca_system_score_gemma":0.00001085366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002867461,"about_ca_topic_score_gemma":5.844314e-8,"domain_scores_codex":[0.9987028,0.0000513934,0.0003726544,0.0002312539,0.0003637707,0.0002781886],"domain_scores_gemma":[0.9993934,0.00009395306,0.0001528181,0.0001476405,0.00001648243,0.0001956755],"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":[0.00006283452,0.0001457245,0.00001028184,0.000002158742,0.000006141556,0.00000346554,0.00004782044,0.1878701,0.8103668,0.00006493583,0.0008941515,0.0005255506],"study_design_scores_gemma":[0.0005721377,0.0001454225,0.00003549974,0.00001091744,0.000008874387,0.0004610363,0.00001389539,0.2151645,0.7827792,0.00001458996,0.0006148889,0.0001790466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399144,0.00002750028,0.458861,0.00008214366,0.0004507095,0.0001012589,0.000004966832,0.00005316185,0.00050481],"genre_scores_gemma":[0.8658593,0.000008149927,0.1337658,0.00006470289,0.0001308566,0.000002939626,0.000007589648,0.00002102859,0.0001395619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3259449,"threshold_uncertainty_score":0.9994119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257929368900337,"score_gpt":0.2520102849576683,"score_spread":0.2294309912686649,"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."}}