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Record W2069596489 · doi:10.1002/mrc.967

<sup>27</sup>Al and <sup>7</sup>Li spin‐echo and spin‐echo double resonance NMR applications to the study of lithium depletion and surface oxidation in Al–Li alloy

2001· article· en· W2069596489 on OpenAlexaff
Yong Ba, John A. Ripmeester

Bibliographic record

VenueMagnetic Resonance in Chemistry · 2001
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Structural Properties of Metals and Alloys
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsChemistryLithium (medication)AlloyOxideSpin echoResonance (particle physics)Spin (aerodynamics)Nuclear magnetic resonanceMagnetic resonance imagingAtomic physicsOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

Abstract The physical properties and the near‐surface microstructures of Al–Li alloys are known to be affected by thermo‐mechanical processes during alloy manufacture. The research reported here explored 27 Al and 7 Li spin‐echo and spin‐echo double resonance NMR to follow the structural changes that accompany lithium depletion and oxidation processes at the alloy surface. The NMR analysis generally agrees with conclusions reached previously using other analytical methods. The major oxide compound generated is Li 2 CO 3 and the minor oxide compound is LiAlO 2 , which is formed at higher temperatures. LiAlO 2 is shown to be formed in spatially confined clusters on the surface of the Li‐depleted, Al‐rich near‐surface layer. Copyright © 2001 John Wiley &amp; Sons, Ltd.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.903

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)0.0000.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations10
Published2001
Admission routes1
Has abstractyes

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