{"id":"W4409072086","doi":"10.1016/j.surfin.2025.106351","title":"Efficient removal of Congo Red dye using MoS2-modified Mg-Al LDH nanocomposites for efficient wastewater remediation","year":2025,"lang":"en","type":"article","venue":"Surfaces and Interfaces","topic":"Magnesium Oxide Properties and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"University Grants Commission","keywords":"Materials science; Congo red; Nanocomposite; Environmental remediation; Wastewater; Pulp and paper industry; Waste management; Composite material; Contamination; Organic chemistry; Adsorption","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":[0.0001089365,0.0003137175,0.0001706068,0.0001635144,0.0001140492,0.0002969228,0.0002519368,0.0003203032,0.000579788],"category_scores_gemma":[0.0001193007,0.0001293138,0.0002340684,0.0001316542,0.0001096728,0.0002475294,0.00019266,0.0002421696,0.0002358355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258856,"about_ca_system_score_gemma":0.0001153502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007764521,"about_ca_topic_score_gemma":0.001915954,"domain_scores_codex":[0.9999154,0.00000878157,0.000008690666,0.00001606486,0.00003067379,0.00002047167],"domain_scores_gemma":[0.9999582,0.000005840482,0.00001078311,0.000004631848,0.00001274963,0.000007932313],"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":[0.00002984699,0.000006219559,0.00006054611,0.00002875108,0.000002896117,0.00002329975,0.000007967374,0.00007158877,0.998834,0.00003831966,0.0000299922,0.0008666518],"study_design_scores_gemma":[0.000002137374,0.00003767307,0.0003664585,0.000001042553,0.000005115186,0.0000243154,0.000007873845,0.001172706,0.9978837,0.000008224786,0.0004880124,0.000002685832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938647,0.0008280929,0.00385218,0.00007295273,0.00002710079,0.000008243855,0.0001072709,0.000128656,0.001110753],"genre_scores_gemma":[0.9967015,0.0002205003,0.001464709,0.00001670394,0.000004486925,0.000004412402,0.00005237162,0.000009648332,0.001525652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007764521,"threshold_uncertainty_score":0.001939535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018328145515285,"score_gpt":0.2703857620988057,"score_spread":0.2502024806436529,"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."}}