{"id":"W2031006790","doi":"10.1089/ees.2011.0263","title":"Rapid Adsorption of Methylene Blue from Aqueous Solutions by Goethite Nanoadsorbents","year":2011,"lang":"en","type":"article","venue":"Environmental Engineering Science","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Adsorption; Methylene blue; Chemistry; Goethite; Aqueous solution; Freundlich equation; Langmuir adsorption model; Langmuir; Wastewater; Endothermic process; Iron oxide; Zerovalent iron; Inorganic chemistry; Nuclear chemistry; Catalysis; Environmental engineering; Photocatalysis; Organic chemistry; Environmental science","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":[0.0002666719,0.0002209145,0.0001994348,0.0001412115,0.00006140529,0.00001598564,0.0003804963,0.00008318132,0.0006127886],"category_scores_gemma":[0.00002773266,0.0002447404,0.00005321606,0.0002034309,0.0002924245,0.0004509039,0.0001130883,0.0001093155,0.0001457345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936713,"about_ca_system_score_gemma":0.000008427829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002922585,"about_ca_topic_score_gemma":5.316518e-7,"domain_scores_codex":[0.9984456,0.00001513352,0.0003594808,0.0003086679,0.0004634176,0.000407728],"domain_scores_gemma":[0.9993879,0.00003412395,0.00007042291,0.0003425979,0.000002927558,0.0001620372],"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":[0.000003066364,0.00004805658,0.0004151251,0.000008789909,0.00001558691,8.449663e-7,0.00045978,0.009028603,0.9886509,0.00001472351,0.00003509019,0.001319488],"study_design_scores_gemma":[0.0002368759,0.00004139157,0.02434213,0.00002139508,0.00001623403,0.000002894937,0.00005679374,0.01285084,0.9616978,0.00001818014,0.0004643129,0.0002511845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888162,0.001045051,0.008756529,0.00000398219,0.0006404468,0.0001727039,0.0001841523,0.0001779136,0.0002030282],"genre_scores_gemma":[0.9928012,0.0004671882,0.00654871,0.00001087144,0.00003035977,0.00002679014,0.00003963782,0.00004164661,0.00003356461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695307,"threshold_uncertainty_score":0.9980222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140401406811369,"score_gpt":0.1757358264530858,"score_spread":0.1643318123849721,"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."}}