ASC/SIL ratio for cytotechnologists: A survey of its utility in clinical practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The atypical squamous cell to squamous intraepithelial lesion (ASC/SIL) ratio for cytotechnologists (CTs) may correlate with screening sensitivity in some laboratory settings. Whether this ratio can be applied to other laboratory settings is not known. We conducted a survey of nine cytology laboratories and correlated the ASC/SIL ratio of individual CTs with other laboratory characteristics. The ASC/SIL ratio for individual CTs varied from 0.6 to 4.5 (mean: 1.9, median: 1.5). The ASC/SIL ratio within individual laboratories varied up to 567%; 25/78 (32%) CTs had an ASC/SIL ratio of less than 1.5, though only three of nine laboratories had more than one CT with a ratio this low. Laboratories that used 100% location guided screening (ThinPrep Imaging System) were much less likely to have a CT with a ratio <1.5 (1/20, 5%) than laboratories that never used location guided screening (14/34, 42%; P = 0.004). In addition, the normalized variance of these same laboratories that used location guided screening was significantly lower than those that did not (normalized standard deviation 0.32 vs. 0.55, P = 0.004). The ASC/SIL ratios did not correlate with laboratory volume, individual workload, or type of specimen preparation (conventional vs. liquid based). The ASC/SIL ratio for CTs varies widely between and within laboratories, and may correlate with the use of location guided screening. Very low ASC/SIL ratios are unusual, and CTs with low ratios may warrant further evaluation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.151 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it