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Record W2069684110 · doi:10.1021/ic9011668

Solid-State NMR Study of Dehydration of Layered α-Niobium Phosphate

2009· article· en· W2069684110 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInorganic Chemistry · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicChemical Synthesis and Characterization
Canadian institutionsWestern University
Fundersnot available
KeywordsDehydrationChemistryAnhydrousNiobiumThermogravimetric analysisPhosphatePhase (matter)Proton NMRNMR spectra databaseNuclear magnetic resonance spectroscopyCrystallographyNuclear chemistryInorganic chemistrySpectral lineOrganic chemistry

Abstract

fetched live from OpenAlex

The dehydration of a representative layered alpha-niobium phosphate (alpha-NbP) was studied by (93)Nb solid state wide-line NMR in combination with several other techniques including X-ray diffraction, thermogravimetric analysis, and (31)P MAS NMR. Four niobium phosphate species associated with dehydration including tri-, di-, and monohydrate phases, as well as a completely dehydrated phase, are identified by (93)Nb NMR. The tri- and dihydrate phases coexist in the as-made alpha-NbP sample. The monohydrate phase formed after heating the sample at 70 degrees C, and an additional anhydrous phase was produced when further dehydrated at 140 degrees C. The dehydration at 250 degrees C resulted in a completely anhydrous phase. The (93)Nb NMR parameters extracted from the wide-line NMR spectra acquired at different magnetic fields are highly sensitive to the dehydration process.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.005
GPT teacher head0.224
Teacher spread0.219 · 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