System Configuration Contributions to Vulnerability: Applications to Connected Personal Devices
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
There is a strong impetus to commercialize emerging technology, tempered by safety expectations and regulatory compliance requirements [1]. Such is the case for medical implant devices, where successful operation of devices can be life-saving, but while consequences of failure are severe. Recent advances in this technology aimed at enabling remote access to a device facilitate remote and more accurate monitoring of patient health. In doing so, original equipment manufacturers (OEMs) both satisfy market pressures and potentially introduce new avenues of risk that increase end-user vulnerability [2]. Vulnerability contributed by technological systems is known to researchers [3]-[5] as an important consideration in individual vulnerability. This study aims to quantify the contribution of technological configuration to end-user vulnerability, specifically the additional risk of Internet-enabled medical implant devices.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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