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The International Temperature Scale: Past, Present, and Future

2014· article· en· W2741173210 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

VenueNCSLI Measure · 2014
Typearticle
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsScale (ratio)International Temperature Scale of 1990Environmental scienceGeographyMathematicsCartographyStatistics

Abstract

fetched live from OpenAlex

Since its inception in 1927, the International Temperature Scale (ITS) has changed to meet the needs of the time. The ITS protocol specifies phase transitions with assigned temperatures (the defining fixed points), defining instruments (thermometers), and interpolating (or extrapolating) equations. Since 1927, the selection of fixed points and their assigned temperatures have changed, defining instruments have been added and deleted, and the equations have become more complex. Since its introduction in 1990, the ITS-90 has served its user community well. However, its departure from thermodynamic temperature is more than is desirable for the most demanding applications. One approach is to continue making measurements on the ITS-90 (T₉₀), and then correct the temperatures for better accord with thermodynamic temperature (T) using the Consultative Committee for Thermometry's best estimates of (T – T₉₀). Alternatively, these shortcomings can be addressed by an evolutionary change that maintains the familiar mathematical structure of the ITS-90, but updates the coefficients of the reference functions and the temperatures of the defining fixed points. The impact on embedded instrumentation is minimal – requiring only an updating of the coefficients of the reference functions and not a complete reworking of the mathematics.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.288

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 head0.007
GPT teacher head0.197
Teacher spread0.190 · 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