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
I would like to thank deeply my principal supervisor Dr. Y H J Au for his valuable comments, assistance and support to guide my work to a satisfactory conclusion. I am pleased to have had the opportunity to work with INTErSECT Faraday Partnership Flagship Project, "Acoustic Emission Traceable Sensing and Signature Diagnostics (AESAD)". I acknowledge the help and useful discussions from all my AESAD colleagues, especially Professor Barry E. Jones. I am especially grateful to Brian Shaw and his technical colleagues for their special kindness and professionalism, together with their expert advice on the experimental work. I would like to thank my friend K.Pakorn for his comments in the area of data classification and signal processing. I am also grateful to Professor C. Clark for his suggestions. I acknowledge the grant from Petroleum Authority of Thailand and King Mongkut's University of Technology Thonburi (1CMUTT) for the level-two training courses on five Nondestructive Testing (NDT) methods in Canada and ASNT level-two on AE
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 | 0.000 | 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