Task-Oriented Adaptive Maintenance Support System
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
Technical manuals for complex systems like automobiles, airplanes, and machine tools, often consist of a huge amount of documentation containing disassembling, assembling instructions and drawings of parts, subassemblies, and exploded views. So it is difficult for users to find a piece of information they need amongst these huge amount of documentations. In order to support maintenance implementation process effectively, a task-oriented adaptive maintenance support (TOAMS) system is designed to provide an intelligent, adaptive electronic support for maintaining complex equipment according to user profiles and their work in hand. By building user model, task model, and product model, document model is configured by multiview and some pieces of semantic information are added into data modules. An agent based software application is being developed to support and allow a systematic utilization of the “adaptive response” by integrating it into the daily work of the technician. An application is presented to show the applicability of our method.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| 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