Improving Public Awareness and Outcomes for Oral Cancer
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
: Dr. C Poh gained a dental degree from the National Taiwan University in Taipei, Taiwan and went on to gain her PhD from the University of British Columbia in 1997, looking into molecular biology in oral cancer. In addition to her current role an associate professor in the Faculty of Dentistry at the University of British Columbia, she is a senior clinician scientist at the Integrative Oncology Department of the BC Cancer Agency's Research Centre. She has various other roles, including being active within the Oral Oncology Department at BC Cancer Agency and the Oral Mucosal Disease Program at Vancouver General Hospital. Her research focuses on the application of molecular and imaging tools for screening, detection and management of at-risk oral lesions. She is currently the principal investigator of a Terry Fox Research Institute-funded ($5 million), pan-Canadian multicenter randomized controlled surgical trial.
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 | 0.001 | 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