Metastases to the mouth and jaws: a contemporary Canadian experience.
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
BACKGROUND AND OBJECTIVE: The types of cancers that most frequently metastasize to the mouth and jaws reflect, for the most part, the relative incidence of cancers in a given population at a given time. We report a retrospective, but relatively contemporary study of 38 cases of metastatic oral tumours in a Canadian population to compare the Canadian experience with that of nearby and distant countries. METHODS: Thirty-eight cases of metastatic disease to the mouth and jaws in a Canadian population were analyzed. Data about patients' age, sex, site of metastatic deposits, clinical history, including the presence of a known primary cancer, and radiographic features were collected from the files (1992-2010) of the oral pathology diagnostic service at the University of Western Ontario, and the hospital archives (2002-2010) of the department of pathology, London Health Sciences Centre, London, Ontario. RESULTS: Most metastases were to the mandible, although oral soft tissues were also involved, most frequently, the gingiva and mucosa of the alveolar ridge. Prostate, lung and breast cancers were the most common primary sites, but a variety of cancer types were found. CONCLUSIONS: The relative frequency of types of metastatic cancer to the oral region is similar in Canada, the United States and Northern Europe, but differs significantly from those reported in South East Asia and Japan. The relative frequency of types of cancer that metastasize to the mouth and jaws reflects the relative incidence of cancers in the population.
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