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Record W2605645225 · doi:10.3390/qubs1010004

The Brightest Light in Canada: The Canadian Light Source

2017· article· en· W2605645225 on OpenAlexafffundabout
J. N. Cutler, Dean Chapman, Les Dallin, Robert Lamb

Bibliographic record

VenueQuantum Beam Science · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced X-ray Imaging Techniques
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersArgonne National LaboratoryBasic Energy SciencesNational Research Council CanadaWestern Economic Diversification CanadaNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchOffice of ScienceUniversity of SaskatchewanCanadian Light SourceUniversity of WashingtonU.S. Department of Energy
KeywordsCLs upper limitsLight sourceBeamlineSynchrotron light sourcePhase (matter)Computer scienceOpticsEngineering physicsTelecommunicationsPhysicsStorage ringOptometry

Abstract

fetched live from OpenAlex

Over forty years in the making, and one of Canada’s largest scientific investments in those four decades, the Canadian Light Source (CLS), a third generation source of synchrotron light, was designed for high performance and flexibility and serves the diverse needs of the Canadian research community by providing brilliant light for applied and basic research programmes ranging from the far infrared to the hard X-ray regimes. Development of the scientific program at the CLS has been envisioned in four distinct phases. The first phase consists of the accelerator complex together with seven experimental facilities; the second phase adds six more experimental facilities and additional infrastructure to support them; the third phase adds seven more experimental facilities; and the fourth phase focuses on beamline and endstation upgrades, keeping the CLS as a state-of-the-art research centre. With the growth of a strong user community, the success of these experimental facilities will drive the future growth of the CLS.

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)0.003
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.134
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0240.004
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0200.002

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 head0.250
Teacher spread0.241 · 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 routes3
Has abstractyes

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