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Record W2113817362 · doi:10.1039/b713276j

Molybdenum magnetic shielding and quadrupolar tensors for a series of molybdate salts: a solid-state<sup>95</sup>Mo NMR study

2007· article· en· W2113817362 on OpenAlexafffund
Michelle A. M. Forgeron, Roderick E. Wasylishen

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2007
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of Alberta
FundersPacific Northwest National LaboratoryNational Research Council CanadaFonds National de la Recherche LuxembourgNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Alberta
KeywordsMolybdateChemistryMolybdenumAlkali metalSolid-state nuclear magnetic resonanceCrystallographyElectromagnetic shieldingNuclear magnetic resonance spectroscopySodium molybdateNMR spectra databaseAnisotropyInorganic chemistryNuclear magnetic resonanceSpectral lineStereochemistryMaterials sciencePhysics

Abstract

fetched live from OpenAlex

A series of molybdate, MoO4(2-), salts have been studied using solid-state 95Mo NMR spectroscopy at applied magnetic field strengths of 11.75, 17.63 and 21.14 T. In contrast to previous investigations, the principal components of the Mo shielding and EFG tensors have been obtained, as well as their relative orientations. At the fields employed, the anisotropic Mo shielding and quadrupolar interactions make significant contributions to the observed 95Mo central transition NMR lineshapes. Based on available structural data, the extent of distortion of the MoO4(2-) anion from T(d) symmetry is reflected in the observed 95Mo nuclear quadrupolar coupling constants for the molybdate salts with divalent cations (i.e., Ca2+, Sr2+, Cd2+, Ba2+, Pb2+), but no correlation is found for molybdate salts containing the monovalent alkali metal (Li+, K+, Rb+, Cs+) cations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.291
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2007
Admission routes2
Has abstractyes

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