{"id":"W4402449680","doi":"10.1016/j.nanoso.2024.101326","title":"A comprehensive review on designing nanocomposite adsorbents for efficient removal of 4-nitrophenol from water","year":2024,"lang":"en","type":"review","venue":"Nano-Structures & Nano-Objects","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Northern Borders University","keywords":"Nanocomposite; Adsorption; Nitrophenol; 4-Nitrophenol; Materials science; Environmental science; Pulp and paper industry; Nanotechnology; Chemistry; Engineering; Nanoparticle; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002740969,0.001969686,0.005358911,0.0005532593,0.0002936749,0.0001980353,0.001378984,0.00119346,0.0005772766],"category_scores_gemma":[0.0001783241,0.00133385,0.002570124,0.000527306,0.0002153338,0.00009356831,0.0004845439,0.0008401144,0.000357481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007455215,"about_ca_system_score_gemma":0.000700471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121425,"about_ca_topic_score_gemma":0.000003689767,"domain_scores_codex":[0.9926976,0.0002264575,0.002682415,0.002022706,0.001105863,0.001264978],"domain_scores_gemma":[0.9950632,0.000746651,0.00140578,0.002098235,0.0003690739,0.0003170263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002184323,0.0001869863,1.443978e-7,0.2945989,0.002545077,0.0003028683,0.0003252156,0.0000234175,0.6000069,0.00009120823,0.003326387,0.09837449],"study_design_scores_gemma":[0.0007273884,0.00009928489,1.043849e-7,0.09310782,0.006703151,0.0005416006,0.00002252886,0.0000051486,0.245907,0.0003137187,0.6514914,0.001080818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002414142,0.9866888,0.00002196969,0.00001455766,0.00267081,0.003197175,0.003845575,0.0003407264,0.0008062569],"genre_scores_gemma":[0.001470197,0.9877809,0.002069747,0.0001342551,0.0009914164,0.000703861,0.005384912,0.0005865381,0.0008782074],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.648165,"threshold_uncertainty_score":0.9993046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410243095544272,"score_gpt":0.3138600771018445,"score_spread":0.2797576461464018,"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."}}