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Introducing our first in a new series of themes

2012· article· en· W2001229593 on OpenAlexaff
P. B. Corkum

Bibliographic record

VenueJournal of Physics B Atomic Molecular and Optical Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsSteacie Institute for Molecular SciencesUniversity of Ottawa
Fundersnot available
KeywordsFemtosecondExtreme ultravioletSeries (stratigraphy)PhysicsHigh harmonic generationHarmonicEngineering physicsOptoelectronicsLaserOpticsQuantum mechanicsBiology

Abstract

fetched live from OpenAlex

This issue of Journal of Physics B: Atomic, Molecular and Optical Physics features a comprehensive topical review entitled 'XUV frequency combs via femtosecond enhancement cavities' by Mills et al presenting the current status of femtosecond enhancement cavity based high-order harmonic generation. This topical review is not only very well written and enjoyable to read, but it is also the first of its kind, effectively launching a series of topical reviews, tutorials or invited papers covering the forefront of Laser and Nonlinear Optics —especially for AMO science. The theme of Laser and Nonlinear Optics will be populated over the next year or two with papers commissioned by the Editorial Board and designed to keep all of us informed on the opportunities that these new sources offer AMO science. Coming soon will be a paper on THz generation—a field of great interest to many AMO scientists. We also plan papers describing the concept, characteristics of each of the world's three free electron lasers. Our aim is for Laser and Nonlinear Optics theme papers to be useful to everyone: for theorists who need practical parameters for calculations; for experimentalists who wish to be up-to-date on the newest tools of our science; and to students who will benefit from a clear discussion of emerging technology. We believe that this issue's paper by Mills et al makes an ideal launching pad for the series because XUV frequency combs is a major accomplishment of AMO science that will find its way, not only into our labs, but also into labs of non-AMO scientists as well. While not all future topical reviews, tutorials or invited papers will be arranged in themes, we trust that you will find this new format useful and inspiring. We invite your comments to this new addition to the journal, as well as your suggestions for future theme topics.

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)0.005
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0120.013
Open science0.0020.006
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0270.011

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 head0.009
GPT teacher head0.257
Teacher spread0.247 · 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
GenreEditorial

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
Published2012
Admission routes1
Has abstractyes

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