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Record W2115699769 · doi:10.1002/adma.201304349

Photon‐In/Photon‐Out Spectroscopic Techniques for Materials Analysis: Some Recent Developments

2014· article· en· W2115699769 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

VenueAdvanced Materials · 2014
Typearticle
Languageen
FieldMaterials Science
TopicGa2O3 and related materials
Canadian institutionsWestern University
Fundersnot available
KeywordsXANESMaterials scienceBeamlineAbsorption (acoustics)SynchrotronOptoelectronicsPhotonSpectrometerOpticsSynchrotron radiationStreak cameraAdvanced Photon SourceSpectroscopyPhysicsBeam (structure)Laser

Abstract

fetched live from OpenAlex

Third-generation synchrotron light source technology has greatly improved the capabilities for materials analysis using tunable X-rays. Two such capabilities developed recently are reported herein - inverse partial fluorescence yield (IPFY) XANES (X-ray absorption near edge structure) and 2D XANES - XEOL (X-ray excited optical luminescence) in both the energy and time domain. These techniques take advantage of recent advances in soft X-ray solid state detector, optical spectrometer with a CCD detector and optical streak camera on a soft X-ray beamline as well as new data acquisition schemes. The studies of LiFePO4 materials for Li ion battery and solid solutions of GaN-ZnO nanostructures for water splitting are used to illustrate these capabilities. The prospects of these and related synchrotron photon-in photon-out techniques are also noted.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.283
Teacher spread0.272 · 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