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Record W4385152155 · doi:10.1109/jrfid.2023.3292462

Guest Editorial of the Special Issue on the 10th Annual IEEE International Conference on Wireless for Space and Extreme Environments (WISEE 2022)

2023· editorial· en· W4385152155 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIEEE Journal of Radio Frequency Identification · 2023
Typeeditorial
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLibrary scienceWirelessSpace (punctuation)International Space StationComputer scienceTelecommunicationsEngineeringAeronauticsOperating system

Abstract

fetched live from OpenAlex

The IEEE Journal of Radio Frequency Identification (JRFID) hosts a Special Issue collecting journal papers that were presented at the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) 2022 Conference</i>, held in Winnipeg, Manitoba, Canada on October 12-14, 2022. The conference featured keynotes, invited talks and panels, workshops, and original presentations and papers. From 47 total submissions, 19 were accepted and presented, and only 10 articles accepted to the IEEE Journal for RFID.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.019
GPT teacher head0.261
Teacher spread0.241 · 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