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Record W4375854802 · doi:10.1109/mmm.2023.3255648

IEEE Society Interaction, Industry Engagement, and Young Professionals Are the Future of the MTT-S [President’s Column]

2023· article· en· W4375854802 on OpenAlexaboutno aff
Nuno Borges Carvalho

Bibliographic record

VenueIEEE Microwave Magazine · 2023
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEngineeringTelecommunicationsGovernment (linguistics)Electrical engineeringMicrowave engineeringExhibitionLibrary scienceMicrowaveComputer scienceGeography

Abstract

fetched live from OpenAlex

From my perspective in June 2023, the IEEE Microwave Theory and Technology Society (MTT-S) is a vibrant Society, with many activities ongoing related to our technical field. Several conferences have occurred with a significant impact on our members; those include the International Microwave and Antenna Symposium (IMAS), in Cairo, Egypt (<xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Figure 1</xref>); the IEEE Wireless and Microwave Technology Conference, in Florida, USA; the IEEE Texas Symposium on Wireless and Microwave Circuits and Systems, in Texas, USA; the IEEE MTT-S International Wireless Symposium, in Qingdao, China; and the IEEE Workshop on Signal and Power Integrity, in Aveiro, Portugal. For June, we have an entire month of events, including the brand-new Wireless Power Transfer and Exhibition, in San Diego, CA, USA; the IEEE RF Radio Frequency Integrated Circuits Symposium; our flagship conference, the IEEE MTT-S International Microwave Symposium; and the Automatic Radio Frequency Techniques Group Microwave Measurement Conference, all co-located in San Diego. At the end of the month, the International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization will be held in Winnipeg, MB, Canada. At all these events, we have a vibrant number of Young Professionals (YPs) events planned along with our industry colleagues, creating an excellent opportunity for academic, industry, and government interaction, impacting the future of microwaves and technology worldwide.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.435

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 integrity0.0000.001
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 head0.022
GPT teacher head0.270
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

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 designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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