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Record W293533121 · doi:10.1142/9789812773845_0008

ON THE ROAD TO ULTRA-HIGH RESOLUTION AND ULTRA-ACCURATE SPECTROSCOPY AT THE NATIONAL RESEARCH COUNCIL OF CANADA: FOLLOWING THE PATH OF JOHN L. HALL

2006· article· en· W293533121 on OpenAlexaffabout
A.A. Madej, Pierre‐André Dubé, L. Marmet, J. E. Bernard, K.J. Siemsen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsResearch councilPath (computing)SpectroscopyResolution (logic)TelecommunicationsPhysicsEngineeringComputer scienceArtificial intelligenceAstronomy

Abstract

fetched live from OpenAlex

The progress of high resolution and accurate spectroscopic studies using a trapped and laser cooled single ion at the National Research Council of Canada (NRC) is described. Summaries of the work are presented in the context of the important conceptual and research support provided by Dr. John L. Hall. Results including sub-100 Hz spectroscopy of the Sr+ single ion transition, absolute frequency measurement of the centre frequency via chain and optical frequency comb technology, and use of the ion reference for the precision determination of other frequencies such as the 633-nm I2/HeNe operating frequency are described.

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)0.003
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: none
Teacher disagreement score0.987
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0220.009

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 head0.051
GPT teacher head0.263
Teacher spread0.212 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

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