{"id":"W2334937002","doi":"10.1021/acs.jpcc.5b01616","title":"Effect of Impregnation on the Structure of Niobium Oxide/Alumina Catalysts Studied by Multinuclear Solid-State NMR, FTIR, and Quantum Chemical Calculations","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Russian Academy of Sciences; Russian Foundation for Basic Research","keywords":"Niobium; Niobium oxide; Catalysis; Solid-state nuclear magnetic resonance; Nuclear magnetic resonance spectroscopy; Oxide; Quadrupole; Materials science; Aluminium; Physical chemistry; Chemistry; Analytical Chemistry (journal); Inorganic chemistry; Nuclear magnetic resonance; Organic chemistry; Metallurgy","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":[0.0002116723,0.0001689254,0.000331509,0.00001022686,0.00006220789,0.000007307089,0.0003143758,0.00006882179,0.000008624836],"category_scores_gemma":[0.0002320512,0.00009443129,0.0001163645,0.0001118527,0.0002680444,0.00005404244,0.00008193674,0.0004001483,4.805364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005648965,"about_ca_system_score_gemma":0.0000291228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009519175,"about_ca_topic_score_gemma":2.251774e-7,"domain_scores_codex":[0.9990084,0.00003737793,0.0003626694,0.0001171116,0.0003386415,0.0001357674],"domain_scores_gemma":[0.9983074,0.0005209933,0.0005723681,0.0003126918,0.0001955702,0.00009097912],"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":[0.000153194,0.0001027051,0.00001605187,0.0001026236,0.00005699276,4.129115e-7,0.0003579915,0.000338777,0.9977896,0.00007221542,0.0006463151,0.0003631435],"study_design_scores_gemma":[0.0005046279,0.00009543928,0.00001245777,0.00008812355,0.0001161606,0.00001384405,0.0001914664,0.002719636,0.9950389,0.001039387,0.0000919479,0.00008795442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992634,0.00007855267,0.0000635621,0.0002198696,0.00000316648,0.0000893813,0.00008320534,0.00001295697,0.0001859196],"genre_scores_gemma":[0.9997455,0.0000142373,0.00005817882,0.0000100141,0.00008978912,0.000003183906,0.00001300959,0.0000184981,0.00004752164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002750622,"threshold_uncertainty_score":0.3850797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008706725737483791,"score_gpt":0.289254739843977,"score_spread":0.2805480141064932,"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."}}