Myiasis on a Giant Squamous Cell Carcinoma of the Scalp: A Case Report and Review of Relevant Literature
Bibliographic record
Abstract
Non-melanoma skin cancer is the most common malignancy amongst Caucasians worldwide with basal cell and squamous cell cancer being the most common. Giant skin cancers are a relatively rare type of skin cancer that are, by definition, greater than 5 cm. This subtype by itself is associated with a significantly increased risk of complications and mortality. Myiasis is defined as infestation of body tissues of humans by dipterous larvae. Myiasis is often associated with malignant skin conditions. We describe a rare case of cutaneous myiasis located on a giant squamous cell carcinoma of the scalp in an elderly female. Myiasis coupled with malignant skin conditions provides a unique surgical challenge. This is especially true if the malignancy is invasive, as in our case, often requiring a multidisciplinary multimodality treatment plan.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".