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Record W1966007111 · doi:10.1097/gim.0b013e3181770196

Meta-analysis and pooled analysis of GSTM1 and CYP1A1 polymorphisms and oral and pharyngeal cancers: a HuGE-GSEC review

2008· review· en· W1966007111 on OpenAlexaff
Leonor Varela‐Lema, Emanuela Taioli, Alberto Ruano‐Raviña, Juan Miguel Barros-Dios, Devasena Anantharaman, Simone Benhamou, Stefania Boccia, Rajani A. Bhisey, Gabriella Cadoni, Ettore Capoluongo, Chien-Jen Chen, William D. Foulkes, Eny Maria Goloni‐Bertollo, Ana Hatagima, Richard B. Hayes, Takahiko Katoh, Sérgio Koifman, P. Lazarus, Johannes J. Manni, Manoj B. Mahimkar, Shunji Morita, Jong Moon Park, Kwang-Kyun Park, Érika Cristina Pavarino Bertelli, Enilze Maria de Souza Fonseca Ribeiro, Bidyut Roy, Margaret R. Spitz, Richard C. Strange, Qingyi Wei, Camille Ragin

Bibliographic record

VenueGenetics in Medicine · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsMcGill UniversityMontreal General Hospital
FundersNational Center for Research ResourcesNational Cancer InstituteNational Institutes of Health
KeywordsConfidence intervalOdds ratioMeta-analysisMedicineInternal medicineCase-control studySubgroup analysisCancerGastroenterologyOncology

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.010
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.079
GPT teacher head0.357
Teacher spread0.278 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations75
Published2008
Admission routes1
Has abstractno

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