Dermatoscopy in the evaluation of cutaneous lesions in patients with familial atypical multiple-mole melanoma syndrome
Bibliographic record
Abstract
Skin cancer is currently the most common cancer type afflicting North Americans today and with an aging population the incidence is likely to increase. Certain skin cancers such as melanoma can result in significant morbidity and mortality especially if not identified and treated early. The traditional ABCDE rule (asymmetric shape, irregular borders, variation in colour, diameter >6 mm and evolution/elevation of the lesion) used to identify concerning tumours will in fact miss many early melanomas. This problem is exacerbated in patients with hereditary forms of melanoma such as Familial Atypical Multiple- Mole Melanoma (FAMMM) syndrome where multiple atypical nevi satisfying the ABCDE criteria are present and would therefore warrant biopsy. Most of these biopsies would be unnecessary and would increase the patient’s morbidity. Dermatoscopy is a clinical tool that provides a bridge between clinical and histopathologic evaluation and has proven to be helpful in triaging suspicious lesions in the general population and to be a first-line screening tool to increase the detection of early melanomas in patients with FAMMM.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".