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Record W2025764144 · doi:10.1038/sj.bjc.6604104

Reply: Breast cancer, human papilloma virus and sexual activities

2008· article· en· W2025764144 on OpenAlexaboutno aff
James S. Lawson, Wendy K. Glenn, Noel J. Whitaker

Bibliographic record

VenueBritish Journal of Cancer · 2008
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerCancerHuman papilloma virusIncidence (geometry)GynecologyMedicineIntraductal papillomaCervical cancerOncologyInternal medicine

Abstract

fetched live from OpenAlex

There are now five studies, including the report of Akil and co-workers in this issue of the Br J Cancer , for which the relationship between age of women and high-risk human papilloma virus (HPV)-positive breast cancer, has been published. Three of these studies report that the age of women with HPV-positive breast cancer is significantly younger than the women with HPV-negative breast cancer. On an average, Greek women with HPV-positive breast cancer were 15 years, Australian women 8 years, and Canadian and Syrian women were 11 years younger than those with HPV-negative breast cancer ( Kroupis et al, 2006 ; Lawson et al, 2006 ; Akil et al, 2007 ). Two studies report no difference in the age of women with HPV-positive or -negative breast cancer ( Hennig et al, 1999 ; Damin et al, 2004 ). Some details of these studies are shown in Table 1 . Table 1 Average age of women with HPV-positive and HPV-negative breast cancer Full size table

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0170.021
Insufficient payload (model declined to judge)0.0160.011

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.

Opus teacher head0.034
GPT teacher head0.348
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

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Same venueBritish Journal of CancerSame topicCervical Cancer and HPV ResearchFrench-language works237,207