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
Traceability and assurance cases (ACs) are crucial for certification of medical devices built on product line platforms. Prone to inconsistencies in handling product lines, monolithic ACs can complicate traceability of claims, arguments and evidence. We previously introduced the separation of assurance for certain medical devices into two linked ACs: a Technological Assurance Case (TAC), addressing system safety concerns disregarding clinical effects on patients; and a Clinical Assurance Case (CAC), addressing safety of a clinical application. A key observed gap is the absence of traceability that links them to extend their utility. We now propose a traceability metamodel as part of TACTICS (Traceable Assurance Cases for Trustworthy Integrated Compliance and Safety), a model-based methodology to support traceability across multiple assurance cases. We present an overview of this traceability process, conceptually, using a TAC/CAC for a medical system as an example, discussing its benefits, challenges and limitations.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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