{"id":"W2949733271","doi":"10.1016/j.pnmrs.2007.12.001","title":"Practical aspects of 51V and 93Nb solid-state NMR spectroscopy and applications to oxide materials","year":2007,"lang":"en","type":"article","venue":"Progress in Nuclear Magnetic Resonance Spectroscopy","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Steacie Institute for Molecular Sciences; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Foundation for Basic Research; National Research Council Canada; Canada Foundation for Innovation; University of Ottawa; Ontario Innovation Trust","keywords":"Nuclear magnetic resonance spectroscopy; Solid-state nuclear magnetic resonance; Spectroscopy; Magnet; Field (mathematics); Materials science; Chemistry; Solid-state; Nuclear magnetic resonance; Nanotechnology; Physics; Physical chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002881205,0.0002748298,0.0004086931,0.0001244723,0.00011272,0.00007581585,0.0002312774,0.0001270589,0.0002490506],"category_scores_gemma":[0.00004881304,0.0002873463,0.00003174496,0.0003289047,0.0004416315,0.0001168919,0.000200961,0.0002745602,0.00001597193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008628993,"about_ca_system_score_gemma":0.00003419489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002155479,"about_ca_topic_score_gemma":0.00002515678,"domain_scores_codex":[0.9979004,0.00001761796,0.0005837229,0.0006477056,0.0002588191,0.0005917156],"domain_scores_gemma":[0.9988911,0.0001050469,0.0001926913,0.0005433307,0.0000626398,0.0002052213],"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":[0.0003421944,0.0003009567,0.004317115,0.0002233958,0.000007204491,0.00002917907,0.0002012479,0.000001073091,0.9065999,0.06399992,0.0002388729,0.02373895],"study_design_scores_gemma":[0.0006026282,0.0002925983,0.01882826,0.0001786147,0.0000221116,0.0000596792,0.0001523613,0.00007887709,0.912039,0.01838755,0.04894488,0.000413468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776286,0.004467593,0.005112829,0.001222543,0.00001515987,0.001136159,0.00007753925,0.000252595,0.010087],"genre_scores_gemma":[0.734497,0.001735168,0.2630577,0.000129567,0.00009830903,0.0002793941,0.000006135702,0.00007810182,0.0001186714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579449,"threshold_uncertainty_score":0.9999579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102058519591152,"score_gpt":0.3337029661565684,"score_spread":0.3226823809606569,"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."}}