Evaluation of North American Association of Central Cancer Registries' (NAACCR) Data for Use in Population-Based Cancer Survival Studies
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
Follow-up procedures vary among cancer registries in North America. US registries are funded by the Surveillance, Epidemiology, and End Results (SEER) Program and/or the National Program of Cancer Registries (NPCR). SEER registries ascertain vital status and date of last contact to meet follow-up standards. NPCR and Canadian registries primarily conduct linkages with local and national death records to ascertain deaths. Data on patients diagnosed between 2002 through 2006 and followed through 2007 were obtained from 51 registries. Registries that met follow-up standards or, at a minimum, conducted linkages with local and national death records had comparable age-standardized five-year survival estimates (all sites and races combined): 63.9% SEER, 63.1% NPCR, and 62.6% Canada. Estimates varied by cancer site. Survival data from registries using different follow-up procedures are comparable if death ascertainment is complete and all nondeceased patients are presumed to be alive to the end of the study period.
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 | 0.002 |
| 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 | 0.000 |
| 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