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
His current research interests mainly focus on various topics (including security, networking, and signal processing) of multimedia and time-frequency analysis of signals.He organized a special session on multimedia security in the 2nd and 3rd IEEE Pacific-Rim Conference on Multimedia, respectively (2001-2002).He coorganized two special sessions (in the area of media identification and DRM) in the 5th IEEE International Conference on Multimedia and Expo (ICME), 2004.He was a Guest Coeditor of EURASIP Journal on Advances in Signal Processing, special issue on visual sensor network in 2005.He has owned two US patents, two ROC patents, and one Canadian patent in digital watermarking.He has received the Paper Awards many times from the Image Processing and Pattern Recognition Society of Taiwan for his work on data hiding.He was a corecipient of a National Invention and Creation Award in 2004.He is the editor of the book "Multimedia
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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