{"id":"W1981489713","doi":"10.1016/j.cplett.2008.07.030","title":"91Zr and 25Mg solid-state NMR characterization of the local environments of the metal centers in microporous materials","year":2008,"lang":"en","type":"article","venue":"Chemical Physics Letters","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Microporous material; Solid-state nuclear magnetic resonance; Characterization (materials science); Metal; Zirconium; NMR spectra database; Solid-state; Spectral line; Materials science; Chemistry; Crystallography; Nuclear magnetic resonance; Physical chemistry; Inorganic chemistry; Nanotechnology; Organic chemistry; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00001774715,0.00009825633,0.000150669,0.000005331749,0.00003223375,0.000002452584,0.0001862265,0.00003628682,0.000009024729],"category_scores_gemma":[0.000003386879,0.00006929014,0.00005227952,0.00006333943,0.0004154228,0.00003733193,0.000118008,0.00009477138,5.486894e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003841893,"about_ca_system_score_gemma":0.00000527585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109282,"about_ca_topic_score_gemma":1.058254e-7,"domain_scores_codex":[0.9994032,0.000009347355,0.000220728,0.0001439154,0.0001083383,0.0001144779],"domain_scores_gemma":[0.9995384,0.00001251605,0.000172093,0.0002538865,0.000005478398,0.00001766978],"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":[0.000008679059,0.00004980215,0.0008542486,0.00002882862,0.000008398272,3.111253e-7,0.000112871,0.00002647367,0.998568,0.00002816628,0.00002218444,0.0002920475],"study_design_scores_gemma":[0.0001685851,0.000001377291,0.001672692,0.00003025696,0.000009198168,0.000002679909,0.000006976654,0.00002366392,0.9976692,0.0001861,0.0001622122,0.0000670288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976074,0.000003676008,0.001858152,0.000317512,0.000008698823,0.00009373613,0.00007835008,0.000007719952,0.00002479013],"genre_scores_gemma":[0.9994582,0.00002459201,0.0001073036,0.0003015906,0.00002453022,0.00001713429,0.00003012697,0.00001373209,0.00002281656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001850808,"threshold_uncertainty_score":0.282557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007445760463078027,"score_gpt":0.2134872965286238,"score_spread":0.2060415360655458,"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."}}