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Record W4206705843 · doi:10.1002/chem.201981361

Frontispiece: Oxygen Vacancy Induced Structural Distortions in Black Titania: A Unique Approach using Soft X‐ray EXAFS at the O–K Edge

2019· paratext· en· W4206705843 on OpenAlexaff
Brett Leedahl, Tristan de Boer, Xiaotao Yuan, A. Moewes

Bibliographic record

VenueChemistry - A European Journal · 2019
Typeparatext
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDistortion (music)Extended X-ray absorption fine structureVacancy defectRelaxation (psychology)Photon energyMaterials scienceCrystal (programming language)OxygenPhysicsK-edgePhotonAtomic physicsCrystallographyCondensed matter physicsChemistryOpticsAbsorption spectroscopy

Abstract

fetched live from OpenAlex

The background is a 2D intensity image of the photons emitted from the black titania (TiO2) sample under study. The horizontal axis is the incident energy from 500–1000 eV. Thus, it is evident that emission photons from Ti, O, Fe, Ni, and Cu are observed. By focusing only on the strong oxygen emission (which oscillates as a function of incident energy), interatomic distances in black TiO2 are deduced, which are used to determine the crystallographic distortion that causes it to be black (instead of regular white). This distortion can be understood in terms of the relaxation undergone by the crystal in the presence of an oxygen vacancy. The crystallographic distortion and oxygen vacancy are also both illustrated in the artwork. For more information, see the Full Paper by Leedahl et al. on page 3272.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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