Bibliographic record
Abstract
The Biomarkers of Cervical Cancer Risk (BCCR) case-control study was designed to address the role of human leukocyte antigen (HLA) alleles as cofactors in the development of high-grade cervical intraepithelial neoplasia (HG-CIN). Cases were women with histologically-confirmed HG-CIN attending colposcopy clinics and controls were women from outpatient clinics with normal cytological screening smears. Cervical specimens were submitted for both human papilloma virus (HPV) testing and HLA genotyping. Risk ratios were generated using logistic regression modelling. This analysis includes 381 case and 884 control subjects, mainly of French-Canadian descent. The B7-DRB1*1501-DQB1*0602 haplotype was associated with a 41 % reduction in risk of HG-CIN [relative risk = 0.59; 95 % confidence interval = 0.36-0.96], and an 83 % reduction in risk for HPV 16 or HPV 18-positive subjects. Possession of the B7-DRB1*1501-DQB1*0602 haplotype was moderately protective, and may be associated with slowing of disease progression to HG-CIN in women who are carriers of common oncogenic HPV types.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".