GYNAECOLOGY Cervical Cancer in the Province of Manitoba: A 30-Year Experience
Bibliographic record
Abstract
Objectives: This study was undertaken to analyze trends in cervical cancer incidence by histological type and to track the survival rate in the province of Manitoba over a 30-year period. Methods: Data from the Manitoba Cancer Registry (MCR) relating to all cases of cervical cancer that occurred between 1970 and 1999 in the province of Manitoba were analyzed to calculate incidence and survival rates according to histological subtype. Results: Over this 30-year span, invasive cervical cancer was diagnosed in 1927 women, and carcinoma in situ was diagnosed in 10 006 women. Cervical cancer was the fifth most frequent cancer diagnosis for women in 1970, and by 1999 it had become the eleventh most frequent. The incidence rate for cervical cancer decreased from 21.6/100 000 women in 1970 to 8.8/100 000 women in 1999. The mortality rate for women with cervical cancer
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".