{"id":"W3096603534","doi":"10.1039/d0ra06743a","title":"Synthesis of FeO@SiO <sub>2</sub> –DNA core–shell engineered nanostructures for rapid adsorption of heavy metals in aqueous solutions","year":2020,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health; Western University","funders":"Western University; Ryerson University","keywords":"Adsorption; Aqueous solution; Chemical engineering; Superparamagnetism; Inorganic chemistry; Chemistry; Metal ions in aqueous solution; Nanocomposite; Materials science; Metal; Nanotechnology; Organic chemistry; Magnetization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001241605,0.0001756201,0.0003752743,0.00007916821,0.00003491507,0.000004438595,0.0001380168,0.0001384892,0.000001250493],"category_scores_gemma":[0.0004514372,0.0001552742,0.0001993414,0.0002100482,0.0001301204,0.00001046284,0.00004849298,0.00005839977,3.045309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001129755,"about_ca_system_score_gemma":0.00003502572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003869105,"about_ca_topic_score_gemma":0.00003513081,"domain_scores_codex":[0.9989114,0.00004139979,0.0003930072,0.000323882,0.0001178599,0.0002124132],"domain_scores_gemma":[0.9993161,0.00006887204,0.0002279784,0.0002090766,0.0001236724,0.00005429409],"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":[0.0002046485,0.00004120873,0.00004497043,0.00009771305,0.00005736789,5.177361e-7,0.00001942189,0.0003871903,0.9803873,0.00006091797,0.0001007402,0.01859804],"study_design_scores_gemma":[0.0002111785,0.0003138313,0.0001100284,0.00004547089,0.00006826399,0.000003002043,0.00006238885,0.0004611915,0.9962327,0.0004036911,0.001919757,0.0001684472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787424,0.005762198,0.01460582,0.0001913117,0.00005705872,0.0003292557,0.0002301838,0.00003610886,0.00004572852],"genre_scores_gemma":[0.9872867,0.002557376,0.009866808,0.00007272717,0.00007806975,0.00002567965,0.00008968895,0.00001842821,0.000004530581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01842959,"threshold_uncertainty_score":0.6331899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543539659088466,"score_gpt":0.2545836171221307,"score_spread":0.239148220531246,"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."}}