Midfacial Degloving Approach for Bilateral Giant Cell Reparative Granuloma
Bibliographic record
Abstract
Reparative giant cell granuloma is a rare benign tumor. Mandible is the most common site. The case is reported for its rarity in maxilla and difficulty in differentiating it from other giant cell lesions. Differentiation is only based on the clinical test and histopathological examination. Midfacial degloving approach popularized by Caisson et al and Conley in 1974 is best suited for bilateral facial lesions. This approach gives a wide exposure with no facial scar or deformity. The advantages of the degloving technique in exposure of the midface, maxilla, mandible, nasal cavities, and paranasal sinuses, have led to its increasing importance in the otorhinolaryngology. J Curr Surg. 2016;6(3-4):78-80 doi: https://doi.org/10.14740/jcs304e
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".