{"id":"W2320624414","doi":"10.1166/jnn.2012.6437","title":"A Study of Silver Species on Silver-Exchanged ETS-10 and Mordenite by XRD, SEM and Solid-State <sup>109</sup>Ag, <sup>29</sup>Si and <sup>27</sup>Al NMR Spectroscopy","year":2012,"lang":"en","type":"article","venue":"Journal of Nanoscience and Nanotechnology","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mordenite; Molecular sieve; Materials science; Solid-state nuclear magnetic resonance; Zeolite; Solid-state; Adsorption; Characterization (materials science); Analytical Chemistry (journal); Silver nanoparticle; Nuclear chemistry; Physical chemistry; Nanotechnology; Nuclear magnetic resonance; Nanoparticle; Chemistry; Catalysis; 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":[0.0001044435,0.0002087469,0.0001860997,0.0002182304,0.0001109231,0.000155534,0.0002735359,0.0002206224,0.0008173789],"category_scores_gemma":[0.0002273458,0.0001476795,0.0001515055,0.0002061121,0.0001502423,0.0001111059,0.00009976465,0.0001974362,0.0001917016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485745,"about_ca_system_score_gemma":0.00008412983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007298458,"about_ca_topic_score_gemma":0.001632228,"domain_scores_codex":[0.9998881,0.000009879443,0.000007586833,0.00002906406,0.00005110152,0.00001423031],"domain_scores_gemma":[0.9998497,0.00004562095,0.00003035922,0.00001484192,0.00004492197,0.00001446991],"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":[0.00005079265,0.00000572482,0.0003997568,0.00002215342,0.000004165372,0.00003683619,0.0000156452,0.00005469984,0.9982063,0.00001634724,0.000009827851,0.001177778],"study_design_scores_gemma":[0.000004019061,0.0001030568,0.008883451,0.000002139667,0.000008038402,0.0001677263,0.00003865987,0.0004179254,0.9895843,0.00001161773,0.0007758557,0.000003200738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971233,0.0002289427,0.001349951,0.00001028083,0.000003673145,0.000006600667,0.0001381512,0.00004075508,0.001098293],"genre_scores_gemma":[0.9944844,0.0003343034,0.002793343,0.00001816186,0.000002905673,0.000009606151,0.0003856563,0.00002502111,0.001946561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008173789,"threshold_uncertainty_score":0.002734423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554236789383297,"score_gpt":0.2710756355198553,"score_spread":0.2555332676260223,"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."}}