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Record W2113703107 · doi:10.1139/v04-027

The Canadian Light Source History and scientific prospects

2004· article· en· W2113703107 on OpenAlexvenueaboutno aff
G.M. Bancroft

Bibliographic record

VenueCanadian Journal of Chemistry · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCLs upper limitsChemistryMedalSynchrotronLight sourceBrightnessSynchrotron radiationLibrary scienceOpticsArt historyPhysicsHistoryComputer science

Abstract

fetched live from OpenAlex

The Canadian Light Source (CLS) in Saskatoon has been under construction for the last 4 years, and will be producing a number of very intense beams of far-IR, IR, soft and hard X-rays in 2004 for use by several hundred Canadian scientists in chemistry, surface and material science, and a host of other scientific disciplines. The CLS will dramatically enhance the Canadian spectroscopic tradition that Gerhard Herzberg help create. I begin this article (from my 2002 CIC Montreal Medal lecture) with an overview of the history of SR in Canada, beginning in 1972 with the first Canadian synchrotron workshop organized at the University of Western Ontario by Bill McGowan, and attended by Dr. Herzberg. The CLS facility is then described, along with the properties of the first and second set of beamlines to be built at the CLS. These SR beams, in the IR and X-ray regions from the third generation CSL ring, will be competitive in brightness and intensity with the best beamlines in the world for most applications. Finally, some of the present Canadian SR research at foreign SR sources is described across the entire SR spectrum. All known spectroscopic and diffraction experiments are dramatically enhanced with SR; and SR opens up new areas of spectroscopy, microscopy, and spectromicroscopy that cannot be studied with any other source of radiation.Key words: synchrotron light, X-rays, infrared, spectroscopy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.179
Teacher spread0.175 · 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 teacher head, not a consensus.

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

Citations7
Published2004
Admission routes2
Has abstractyes

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