Harmonising technologies in conceptual models representation
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
The lack of interoperability among systems, applications, and services has been hindering collaboration between organisations raising the need for integration and cooperation between multiple standard business objects and application protocols. ISO 10303-STEP has been acknowledged by most of the industrial companies as the most important family of standards for the integration and exchange of product data under the manufacturing domain. However, STEP standards use technologies unfamiliar to most application developers. This paper presents a platform for the harmonisation of technologies used in the representation and implementation of conceptual models, showing how different standard models and technologies can be unified for industrial benefits, enabling organisations to take the most from all of them. This work results from the research developed and validated in the scope of international research projects involving partners from USA, Europe, Canada, and Australia, under the scope of the IMS SMART-fm, ATHENA IP, and INTEROP NoE European research projects.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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