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Record W2486915667 · doi:10.1088/0026-1394/53/1a/02002

SIM key comparison for luminous flux. SIM.PR-K4

2016· article· en· W2486915667 on OpenAlexaffabout
Carlos H Matamoros, Yoshi Ohno, Joanne C. Zwinkels, Jorge A Cogno, I B Couceiro

Bibliographic record

VenueMetrologia · 2016
Typearticle
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMutual recognitionMathematicsMetrologyStatisticsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

In compliance with the established BIPM and CCPR policies and guidelines on comparisons, the SIM Photometry and Radiometry Working Group decided to conduct a key comparison on total luminous flux in order to provide an opportunity for its member National Metrology Institutes (NMIs) that did not participate in the CCPR-K4 comparison, to get a link to the reference value obtained for this quantity (the lumen) and to derive the corresponding degrees of equivalence. This SIM.PR-K4 was piloted by Centro Nacional de Metrología (CENAM), the NMI of Mexico and included the participation of five laboratories: CENAM (Mexico), INTI (Argentina), INMETRO (Brazil), NIST (USA, linking lab), and NRC (Canada, linking lab). The comparison, conducted in star type scheme, was run using three to four lamps per participant, and results are given in this report, including the unilateral degrees of equivalence. Main text To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/ . The final report has been peer-reviewed and approved for publication by the CCPR, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.336

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 studies0.0000.000
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 head0.033
GPT teacher head0.256
Teacher spread0.223 · 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 designBench or experimental
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

Citations0
Published2016
Admission routes2
Has abstractyes

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