The Cross-Disciplinary MTT-S Inter-Society Technology Panels at European Microwave Week 2023 [Around the Globe]
Bibliographic record
Abstract
The Inter-Society Technology Panel (ISTP) program was established in 2021 by the IEEE Microwave Theory and Technology Society (MTT-S) as a new initiative under the auspices of the MTT-S Inter-Society Committee. This program, currently led by Drs. Ke Wu and J.-C. Chiao, collaborated with the 2023 European Microwave Week (EuMW) Steering Committee and ISTP organizers to develop two exciting panels for EuMW 2023 in Berlin, Germany. The ISTP program’s goal is to provide an international platform for collaboration and exchanges of ideas among members of MTT-S, other IEEE entities (societies and councils), and non-IEEE organizations. These panels aim to facilitate discussions on cross-disciplinary research and development, involving academia, industry, standards, and commercial sectors in the context of emerging technologies and applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.011 | 0.006 |
| Insufficient payload (model declined to judge) | 0.043 | 0.031 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".