In Reply
Bibliographic record
Abstract
In Reply.—Although the College of American Pathologists Interlaboratory Comparison Program in Cervicovaginal Cytology does require biopsy confirmation of all cytologic cases in the 200 series (low-grade squamous intraepithelial lesions and above), the author is correct in stating that the committee has not undertaken a review of these confirmatory biopsies. Consequently, the committee cannot contribute to defining “the limits of accuracy and reproducibility that biopsy diagnosis can achieve.” The absence of histologic review in the study protocol is a limitation in methodology, but should not be considered a “flaw,” since histologic diagnosis of cervical preinvasive disease alone is no longer considered to be the gold standard for diagnosis, since it is subject to both sampling and interpretive errors.Studies have shown significant imprecision (lack of reproducibility) in the histologic diagnosis of low-grade squamous intraepithelial lesions, whereas histologic diagnosis of high-grade squamous intraepithelial lesions and invasive carcinoma is made with greater precision.12 The final reference diagnosis of a case within the 200 series of the Interlaboratory Comparison Program in Cervicovaginal Cytology would likely show less variability than suggested in these studies, since this reference diagnosis is based on the reported histologic diagnosis and triple confirmation of the cytologic findings. Combining both cytologic and histologic findings is the optimal method for determining the final or reference diagnosis in a case, suggesting that the variability identified in this study is truly due to interobserver imprecision and not imprecision in the underlying histologic diagnosis.These methodologic intricacies should not detract from the central conclusion of this study, namely, that field validation of a slide's reference diagnosis is a necessary step in an educational or proficiency testing program in either cytopathology or surgical pathology.
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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 | 0.005 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.027 | 0.033 |
| Insufficient payload (model declined to judge) | 0.044 | 0.037 |
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".