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Record W2136236728 · doi:10.1016/s0140-6736(09)61248-4

Efficacy of human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine against cervical infection and precancer caused by oncogenic HPV types (PATRICIA): final analysis of a double-blind, randomised study in young women

2009· article· en· W2136236728 on OpenAlexaff
Jorma Paavonen, Paulo Naud, Jorge Salmerón, CM Wheeler, S-N Chow, Dan Apter, Henry C Kitchener, Xavier Castellsagué, JC Teixeira, S. Rachel Skinner, James Hedrick, Unnop Jaisamrarn, Genara Limson, Suzanne M. Garland, Anne Szarewski, Barbara Romanowski, F. Y. Aoki, TF Schwarz, W.A.J. Poppe, FX Bosch, David Jenkins, Karin Hardt, Toufik Zahaf, Dominique Descamps, Frank Struyf, Matti Lehtinen, Gary Dubin

Bibliographic record

VenueThe Lancet · 2009
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of ManitobaUniversity of Alberta
FundersGlaxoSmithKline
KeywordsMedicineCohortInterim analysisCervical cancerVaccine efficacyClinical endpointVaccine trialPopulationHPV infectionInternal medicineCervical intraepithelial neoplasiaVaccinationHPV vaccinesClinical trialOncologyCancerImmunology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.070
GPT teacher head0.384
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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations1,655
Published2009
Admission routes1
Has abstractno

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Same venueThe LancetSame topicCervical Cancer and HPV ResearchFrench-language works237,207