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Record W2140889086 · doi:10.1503/cmaj.070944

Human papillomavirus, vaccines and women's health: questions and cautions

2007· article· en· W2140889086 on OpenAlexafffundvenueabout
Abby Lippman, Ryan Melnychuk, Carolyn Shimmin, Madeline Boscoe

Bibliographic record

VenueCanadian Medical Association Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsPan Am ClinicDalhousie UniversityMcGill UniversityMcGill University Health Centre
FundersHealth Canada
KeywordsGardasilHuman papillomavirusHuman papillomavirus vaccineHPV vaccinesCervical cancerGovernment (linguistics)MedicineFamily medicinePolitical scienceCancerHPV infection

Abstract

fetched live from OpenAlex

The federal government's recently announced $300 million investment toward a program for vaccinating girls and women with the currently available human papillomavirus (HPV) vaccine Gardasil, framed by some as a way to prevent cervical cancer in Canada, has generally been welcomed by a wide range of

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)0.040
metaresearch head score (Gemma)0.089
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 score0.060
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.089
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.002
Science and technology studies0.0080.021
Scholarly communication0.0090.012
Open science0.0070.005
Research integrity0.0430.055
Insufficient payload (model declined to judge)0.0080.004

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 head0.016
GPT teacher head0.342
Teacher spread0.326 · 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

Citations99
Published2007
Admission routes4
Has abstractyes

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