Whole‐exome sequencing and copy number alterations analysis in a case of expansive florid cemento‐osseous dysplasia
Bibliographic record
Abstract
Whole-exome sequencing (WES) analysis of an expansive case florid cemento-osseus dysplasia were reported for the first time. Also, the new potential candidate genes were reported to expand our knowledge about their molecular pathogenesis. Abstract: We report a case of expansive florid cemento-osseus dysplasia in a 32-year-old female patient who presented an expansive tumoral lesion in the anterior mandible. As florid cemento-osseus dysplasia have only been molecularly investigated using targeted-sequencing, fragments of the lesion were collected and subjected to molecular investigation using WES to assess somatic mutations as well as copy number alterations. No gains and losses of chromosomal arms or segments longer than 1 Mb were detected. Our findings revealed a pathogenic stopgain variant at the KIF5C gene, a stoploss variant at MAPK10, and missense SNV at COL6A2 at DCDC1, suggesting potential candidate genes associated with florid cemento-osseus dysplasia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".