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Recent Developments in Soft <scp>X</scp> ‐Ray Absorption Spectroscopy

2017· other· en· W2998456881 on OpenAlexaff
A. Moewes

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsX-ray absorption spectroscopySynchrotron radiationSpectroscopyAbsorption spectroscopySynchrotronAbsorption (acoustics)PhysicsX-ray spectroscopyOpticsChemistryMaterials scienceCrystallographyAstronomy

Abstract

fetched live from OpenAlex

Abstract X ‐ray absorption spectroscopy ( XAS ) is one of the oldest and most widely employed spectroscopy techniques today. The principles emerged shortly after Röntgen's discovery of X ‐rays in 1895 (Sagnac, G. (1901) Ann. Chim. Phys ., 23 , 145–198; Stumm von Bordwehr, R. (1989) Ann. Phys. Fr ., 14 , 377–466), while the discovery and naming of the K‐ and L‐lines occurred in 1911 (Stumm von Bordwehr (1989); Inokuti, M. and Noguchi, T. (1974) Am. J. Phys ., 42 , 1118–1119). The first tunable synchrotron light source was built in the 1940s, and while their use in the study of materials dates back to roughly 50 years ago, it was only in the 1980s that soft X ‐ray absorption spectroscopy rose to its current popularity. Today, XAS is routinely applied at all synchrotron sources to solve scientific problems in physics, chemistry, material sciences, life sciences, geology, medicine, and engineering. The technique is powerful because it is element specific, nondestructive, and highly sensitive to the local bonding environment and geometric structure surrounding the absorbing atom as well as to spin, orbital angular momenta, and the polarization of the exciting radiation.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.054
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

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 head0.266
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2017
Admission routes1
Has abstractyes

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