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Record W4391527046 · doi:10.1016/j.lanwpc.2024.101017

Age-specific breast and ovarian cancer risks associated with germline BRCA1 or BRCA2 pathogenic variants – an Asian study of 572 families

2024· article· en· W4391527046 on OpenAlexfundno aff
Weang-Kee Ho, Nur Tiara Hassan, Sook‐Yee Yoon, Xin Yang, Joanna Lim, Nur Diana Binte Ishak, Peh Joo Ho, Eldarina Wijaya, Patsy Pei-Sze Ng, Craig Luccarini, Jamie Allen, Mei-Chee Tai, Jianbang Chiang, Zewen Zhang, Mee‐Hoong See, Meow‐Keong Thong, Yin Ling Woo, Alison M. Dunning, Mikael Hartman, Cheng Har Yip, Nur Aishah Mohd Taib, Douglas F. Easton, Jingmei Li, Joanne Ngeow, Antonis C. Antoniou, Soo‐Hwang Teo, Benita Kiat Tee Tan, Su-Ming Tan, Veronique Kiak Mien Tan, Ern Yu Tan, Geok Hoon Lim, Alexis Jiaying Khng, Gaik-Siew Ch’ng, Jamil Omar, Chee-Meng Yong, Ismail Aliyas, Rozita Abdul Malik, Suguna Subramaniam, Chun Sen Lim, S.C. Lee, K. P. Lim, Mohamad Nasir Shafiee, Fuad Ismail, Mohd Pazudin Ismail, Mohamad Faiz Mohamed Jamli, Suresh Kumarasamy, J.S.H. Low, Ahmad Muzamir Ahmad Mustafa, M.J. Makanjang, N.L.C. Cheah, Chee Kin Fong, Kean-Fatt Ho, Azura Deniel, Soo Fan Ang, Lye-Mun Tho

Bibliographic record

VenueThe Lancet Regional Health - Western Pacific · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
FundersNIHR Cambridge Biomedical Research CentreMedical Research CouncilNational Cancer Institute, Cairo UniversityUniversiti Kebangsaan MalaysiaUniversiti MalayaNational Research Foundation SingaporeMinistry of Health -SingaporeTerry Fox FoundationNational Medical Research CouncilNational University of SingaporeNational Research FoundationDepartment of Health and Social CareHospital Universiti Sains MalaysiaNational Institute for Health and Care ResearchWellcome TrustYayasan Sime DarbyCancer Research UKKementerian Kesihatan MalaysiaNational University Cancer Institute, SingaporeUniversiti Sains MalaysiaAstraZeneca
KeywordsGermlineOvarian cancerBreast cancerOncologyGermline mutationBiologyCancerMedicineInternal medicineCancer researchGeneticsMutationGene

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.360
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 designObservational
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

Citations9
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Regional Health - Western Pacific→Same topicBRCA gene mutations in cancer→French-language works237,207→