{"id":"W2763612373","doi":"10.1002/ep.12771","title":"Removal of copper(II) ions from Aqueous Media by Chemically Modified MCM‐41 with <i>N</i>‐(3‐(trimethoxysilyl)propyl)ethylenediamine and Its 4‐hydroxysalicylidene Schiff‐base","year":2017,"lang":"en","type":"article","venue":"Environmental Progress & Sustainable Energy","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Adsorption; Chemistry; Aqueous solution; Ethylenediamine; MCM-41; Desorption; Langmuir adsorption model; Sorption; Copper; Nuclear chemistry; Schiff base; Inorganic chemistry; Langmuir; Sorbent; Mesoporous silica; Mesoporous material; Polymer chemistry; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002958077,0.0005558245,0.000551263,0.00007921684,0.0008955643,0.0001203868,0.0007612219,0.0002902387,0.0009245429],"category_scores_gemma":[0.00007425065,0.0004700313,0.0001292808,0.0001407282,0.001748071,0.0007546238,0.001277801,0.0002966453,0.00003273764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356629,"about_ca_system_score_gemma":0.00003644917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147328,"about_ca_topic_score_gemma":0.00004798409,"domain_scores_codex":[0.9965351,0.0001097845,0.0005901419,0.0009933956,0.0009176645,0.0008538771],"domain_scores_gemma":[0.9978935,0.00006933945,0.0006208827,0.0008870505,0.00001513049,0.000514071],"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":[0.001088539,0.001524269,0.005751695,0.00005551908,0.0001899768,0.001205315,0.000521908,0.0002919827,0.9395531,0.001720919,0.001963394,0.04613332],"study_design_scores_gemma":[0.006759568,0.001108478,0.01274633,0.00012697,0.0002665269,0.0005637596,0.001360688,0.00679205,0.8824518,0.001679916,0.08411025,0.002033702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931698,0.002659215,0.000209007,0.0007447834,0.00007215877,0.0004047693,0.0003033872,0.00009520525,0.002341644],"genre_scores_gemma":[0.9895366,0.0006393155,0.002344939,0.0001916458,0.0001138891,0.00006155293,0.0002401369,0.00008321607,0.006788674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08214685,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463115465855169,"score_gpt":0.2073949709090912,"score_spread":0.200931855443236,"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."}}