{"id":"W2316475507","doi":"10.1021/ja502113d","title":"Dynamic Nuclear Polarization NMR Enables the Analysis of Sn-Beta Zeolite Prepared with Natural Abundance <sup>119</sup>Sn Precursors","year":2014,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Office of Science; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Energy","keywords":"Chemistry; Zeolite; Unpaired electron; Tin; Natural abundance; Polarization (electrochemistry); Nuclear magnetic resonance spectroscopy; Isotope; Solid-state nuclear magnetic resonance; Catalysis; Analytical Chemistry (journal); Nuclear magnetic resonance; Physical chemistry; Molecule; Nuclear physics; Stereochemistry; Organic chemistry; Mass spectrometry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432946,0.0002114164,0.000112704,0.0001590957,0.00008840731,0.0001625258,0.0001154106,0.0001443814,0.0004010235],"category_scores_gemma":[0.0002314912,0.000103549,0.00006101816,0.0001309616,0.0001906635,0.0001896084,0.0001238231,0.000264353,0.0001593969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402292,"about_ca_system_score_gemma":0.0001110438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005728277,"about_ca_topic_score_gemma":0.001017072,"domain_scores_codex":[0.9999186,0.00001685751,0.000004469752,0.00002211343,0.00002663903,0.0000114786],"domain_scores_gemma":[0.9998988,0.00003383147,0.00001865307,0.000008757454,0.00002840339,0.00001167702],"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":[0.00002719877,0.000001796659,0.0001424306,0.000009433068,0.000001117946,0.000007833389,0.000005241614,0.00001988895,0.9989973,0.00002028065,0.000004206344,0.0007634216],"study_design_scores_gemma":[0.000001635944,0.00002625338,0.001219097,0.000001451924,0.000002340471,0.0000388082,0.00001289968,0.0005299264,0.9977542,0.00001862443,0.0003931168,0.000001691741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820653,0.0003397766,0.01568466,0.00003116694,0.000008003943,0.00001699865,0.0003387314,0.00009094873,0.001424447],"genre_scores_gemma":[0.9874957,0.0004579305,0.01083054,0.0000241007,0.000003643943,0.00001754385,0.0003907617,0.00003074878,0.0007490964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005728277,"threshold_uncertainty_score":0.001341522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003476225869508669,"score_gpt":0.2378775845538334,"score_spread":0.2344013586843247,"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."}}