Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access
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.
Bibliographic record
Abstract
On behalf of the organizing committees, it is our great pleasure to welcome you to the 14th ACM International Symposium on Mobility Management and Wireless Access -- MobiWac 2016. Previous editions of this symposium took place in Dallas/Fort Worth (TX, USA), Philadelphia (PA), Maui (Hawaii), Torremolinos (Spain), Chania (Greece), Vancouver (Canada), Tenerife (Spain), Bodrum (Turkey), Miami (FL, USA), Paphos (Cyprus), Barcelona (Spain) Montreal (Canada), Cancun (Mexico). This year MobiWac takes place in Malta, and it continues its successful track record of being a forum where researchers from academy and industry gather to discuss novel advances in mobility, wireless access and related topics, aiming at advancing knowledge and identifying new directions for future research and development. The call for papers attracted a large number of submissions from Africa, America, Asia and Europe. From these works, the program committee has reviewed all papers and selected 28% of the best papers and put together the program you have in front of you. Accepted papers cover a wide variety of topics, including mobility management and medium access, MANET networking, tracking, quality of service, security and applications. The accepted papers come from 11 countries (Brazil, Italy, UK, Turkey, USA, Spain, Germany, Canada, Germany, Norway, Greece), which reflects the international nature of the symposium.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it