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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.004

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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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