Nonsquamous cell malignant tumours of the oral cavity: an overview.
Bibliographic record
Abstract
Many malignant tumours other than squamous cell carcinoma may present in the oral cavity. Melanomas of the oral cavity are usually pigmented, aggressive tumours associated with a poor prognosis. Neoplasms of the minor salivary glands have a greater tendency to be malignant than those of the major glands, and some exhibit a predilection for occurring in the mouth. Many types of connective tissue malignant tumours (sarcomas) may arise in the mouth, including soft-tissue cancers and lesions of hematologic cells such as lymphoma, whereas osteosarcoma is the most common malignancy of the hard tissues found in the mouth. Cancers from distant organs such as breast, lung and prostate may metastasize to the oral cavity. This paper presents a brief overview of nonsquamous cell oral cancers, with emphasis on those most likely to be encountered by the practising dentist.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".