MétaCan
Menu
Back to cohort
Record W2153954237 · doi:10.1016/s1470-2045(13)70253-5

Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study

2013· article· en· W2153954237 on OpenAlexaff
Weiva Sieh, Martin Köbel, Teri A. Longacre, David D.L. Bowtell, Anna DeFazio, Marc T. Goodman, Estrid Høgdall, Suha Deen, Nicolas Wentzensen, Kirsten B. Moysich, James D. Brenton, Blaise Clarke, Usha Menon, C. Blake Gilks, Andre Kim, Jason Madore, Sián Fereday, Joshy George, Laura Galletta, Galina Lurie, Lynne R. Wilkens, Michael E. Carney, Pamela J. Thompson, Rayna K. Matsuno, Susanne K. Kjær, Allan Jensen, Claus Høgdall, Kimberly R. Kalli, Brooke L. Fridley, Gary L. Keeney, Robert A. Vierkant, Julie M. Cunningham, Louise A. Brinton, Hannah Yang, Mark E. Sherman, Montserrat García‐Closas, Jolanta Lissowska, Kunle Odunsi, Carl Morrison, Shashikant Lele, Wiam Bshara, Lara Sucheston, Mercedes Jimenez‐Liñan, Kristy Driver, Jennifer Alsop, Marie Mack, Valerie McGuire, Joseph H. Rothstein, Barry P. Rosen, Marcus Q. Bernardini, Helen Mackay, Amit M. Oza, Eva Wozniak, Elizabeth Benjamin, Aleksandra Gentry‐Maharaj, Simon A. Gayther, Anna V. Tinker, Leah Prentice, Christine Chow, Michael S. Anglesio, Sharon E. Johnatty, Georgia Chenevix‐Trench, Alice S. Whittemore, Paul D.P. Pharoah, Ellen L. Goode, David G. Huntsman, Susan J. Ramus

Bibliographic record

VenueThe Lancet Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsVancouver General HospitalUniversity of British ColumbiaBC Cancer AgencyUniversity of TorontoUniversity of Calgary
FundersNational Institutes of HealthCancer Research UKNational Cancer InstituteKræftens Bekæmpelse
KeywordsOvarian cancerOvarian tissue cryopreservationOncologyHormone receptorInternal medicineMedicineGynecologyBiologyCancer researchCancerBreast cancerFertilityFertility preservation

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)0.004
metaresearch head score (Gemma)0.006
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.371
Teacher spread0.313 · 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

Citations432
Published2013
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet OncologySame topicOvarian cancer diagnosis and treatmentFrench-language works237,207