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Record W2321690058 · doi:10.1109/tim.2016.2539458

Guest Editorial Special Issue on the 2015 IEEE International Instrumentation and Measurement Technology Conference Pisa, Italy, May 11–14, 2015

2016· editorial· en· W2321690058 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

VenueIEEE Transactions on Instrumentation and Measurement · 2016
Typeeditorial
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInstrumentation (computer programming)NotationGalileo (satellite navigation)Theme (computing)Face (sociological concept)Measure (data warehouse)EngineeringUnits of measurementComputer scienceLibrary scienceSystems engineeringSoftware engineeringWorld Wide WebProgramming languagePhysicsMathematicsRemote sensingGeographySociologyData miningAstronomy

Abstract

fetched live from OpenAlex

The 32nd annual IEEE International Instrumentation and Measurement Technology Conference ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{I}^{2}$ </tex-math></inline-formula> MTC) was held in historic and beautiful Pisa, Italy. The theme of the conference was “The Measurable of Tomorrow: Providing a Better Perspective on Complex Systems.” The first part of the title embraced the challenge of Galileo Galilei, “Measure what is measurable, and make measurable what is not so,” while the second part called for the instrumentation and measurement (I&M) community to face the increasing complexity of systems resulting from the continuous development of new technologies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.039
GPT teacher head0.287
Teacher spread0.248 · 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