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Record W3201782437 · doi:10.1016/j.measen.2021.100293

International development of the SI in FAIR digital data

2021· article· en· W3201782437 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMeasurement Sensors · 2021
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsTraceabilityTask (project management)Task groupComputer scienceDigital dataData scienceWorld Wide WebPolitical scienceEngineeringEngineering managementTelecommunicationsSoftware engineeringSystems engineering

Abstract

fetched live from OpenAlex

The International Committee for Weights and Measures has recognised the need to provide support for digital representations of the International System of Units (SI) and related metrological concepts, such as traceability and measurement uncertainty. A specialised Task Group was established to address this in 2019. This summary reports on the activities of the task group to date, which include an overarching “Grand Vision” document, sketching out an SI Digital Framework, and an international online workshop, “The SI in FAIR digital data”, held in February 2021, to engage a wide audience in discussions about a solution.

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.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.789
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.008
Open science0.0040.004
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 head0.262
GPT teacher head0.345
Teacher spread0.083 · 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