VILLASnode: An Open-Source Real-time Multi-protocol Gateway
Bibliographic record
Abstract
VILLASnode is a multi-protocol gateway, designed to facilitate real-time data exchange between various components of geographically-distributed real-time experiments.Components can be testbeds, digital real-time simulators, software tools, and physical devices.It is designed for the co-simulation of power system and related energy applications.VILLASnode was originally designed for the co-simulation of electrical networks, but since then was further extended to cover a larger variety of use cases and domains.VILLASnode serves as the gateway that connects components across different infrastructures by providing a set of protocols and customized third-party implementations, e.g., different simulators.It enables seamless collaboration in research and testing environments while safeguarding the intellectual property of the infrastructures.The components of every infrastructure appear as a black box.The infrastructure does not need to share models or confidential information.VILLASnode is a set of Linux command line tools and shared library.It can be installed from source or via a OCI container.It is written in C/C++ and designed in a modular and extensible way.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.010 |
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".