{"id":"W3026010887","doi":"10.1016/j.jenvman.2020.110713","title":"Effective adsorptive removal of Zn2+, Cu2+, and Cr3+ heavy metals from aqueous solutions using silica-based embedded with NiO and MgO nanoparticles","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Ministry of Higher Education, Malaysia; Ministry of Higher Education; An-Najah National University","keywords":"Adsorption; Endothermic process; Aqueous solution; Enthalpy; Gibbs free energy; Chemistry; Metal ions in aqueous solution; Non-blocking I/O; Exothermic reaction; Metal; Inorganic chemistry; Qualitative inorganic analysis; Ion; Physical chemistry; Catalysis; Thermodynamics; Organic chemistry","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":[0.00009765569,0.0003792341,0.000197462,0.0002481343,0.0001540044,0.0002405263,0.0003029442,0.0002717574,0.0005012371],"category_scores_gemma":[0.0001387392,0.0002323627,0.0003303879,0.0001162767,0.0001831248,0.0002401496,0.000280317,0.0001985896,0.0002145561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324615,"about_ca_system_score_gemma":0.0001913939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381222,"about_ca_topic_score_gemma":0.003390256,"domain_scores_codex":[0.9999146,0.000005755845,0.0000101624,0.00001972843,0.00003295362,0.00001681048],"domain_scores_gemma":[0.9999373,0.000007865579,0.0000117869,0.000005263279,0.00002351152,0.00001423832],"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":[0.00004914422,0.00001139933,0.0001128234,0.00004364462,0.000005697098,0.00002169986,0.0000120649,0.00008926322,0.9982109,0.0000326712,0.00003226862,0.001378324],"study_design_scores_gemma":[0.000007864667,0.0000907371,0.001111456,0.000002209373,0.00001361439,0.00003275954,0.00001447871,0.001089016,0.9969268,0.00001178284,0.0006945239,0.000004677207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956518,0.000570016,0.002210117,0.00003763085,0.00004258972,0.00001627804,0.00006687472,0.00009456877,0.001310194],"genre_scores_gemma":[0.9952548,0.0002688923,0.001976924,0.00002418279,0.00001188474,0.00001085823,0.00006697275,0.000008601057,0.002377057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001381222,"threshold_uncertainty_score":0.002746344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313630616267455,"score_gpt":0.2049283981167239,"score_spread":0.1917920919540494,"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."}}