Map-dot-fingerprint (epithelial basement membrane) corneal dystrophy: A clinicopathological study
Bibliographic record
Abstract
Abstract Background: Map-dot-fingerprint (MDF) is a corneal epithelial dystrophy affecting the basement membrane that presents bilaterally or in an asymmetric manner. Clinically, it appears as opacities or fingerprint lines and histopathologically, microcystic structures, dot-like patterns, or basement membrane thickening are commonly described features. Materials and Methods: We conducted a retrospective study on 10 cases of MDF obtained from 9 patients between 2017 to 2018 from the MUHC-McGill Ocular Pathology & Translational Research Laboratory. Results: Following histopathological evaluation with hematoxylin and eosin, periodic acid–Schiff (PAS), and in one case Alcian Blue, a final diagnosis of MDF was reached in all cases. Conclusion: This case series aims to document MDFs histopathological characteristics. To the best of our knowledge, this is the largest case series with histopathological diagnosis published, filling an important gap in the literature.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".