Proceedings of the 4th Analytic Virtual Integration of Cyber-Physical Systems Workshop December 3 Vancouver Canada
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
We would like to welcome you to the 2013 Analytic Virtual Integration Cyber-Physical Systems (AVICPS) workshop.The workshop is focusing on analytic techniques that enable the early discovery of defects in CPS, before the system is integrated or its parts are built.The principal objective is to present and discuss novel ideas and results that help to discover and resolve problems early during the design and implementation phases.AVICPS 2013 aims at bringing together researchers, engineers, and application developers from both industry and academia to present their latest advances in this field.Our program is organized according to three themes: mathematical fundamentals, model integration, and model analysis.The program also includes time reserved for lively discussions; we hope that all attendees will benefit from these interactions.We received 13 submissions, from which 6 were accepted; 4 as position papers and 2 as full research papers.Our 13 internationally known PC members came from academia and industry and they have worked very hard to review the papers; most papers have received three reviews.We would like to thank the program committee members for their excellent work and for their suggestions in the selection of papers.
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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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