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
In wireless sensor networks (WSNs), the use of the IP technology has always been considered inadequate due to its high overhead in processing and memory usage. However, the use of IP technology in WSNs can provide basis for transparent communication among sensor nodes and seamless interconnection between WSNs and the Internet-based infrastructure network, thus eliminating the need for translation gateways or similar devices that are used in current WSNs for this purpose. Besides, many devices in a WSN make network autoconfiguration and statelessness highly desirable for the network operator. For this, IPv6 has ready solutions. Moreover, the large number of devices poses the need for a large address space, which is well met by IPv6. Application of IP technology to IEEE 802.15.4 will be a very important research direction. To accelerate the adoption of these new emerging techniques, a number of important issues must be addressed such as the routing and security of IP-enabled wireless sensor network and applications. In this special issue, we have invited a few papers that address such issues.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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