← Back to cohort
Evaluating the ovarian cancer gonadotropin hypothesis: A candidate gene study
Alice W. Lee, Jonathan P. Tyrer, Jennifer A. Doherty, Douglas Stram, Jolanta Kupryjańczyk, Agnieszka Dansonka‐Mieszkowska, Joanna Plisiecka-Hałasa, Beata Śpiewankiewicz, Emily J. Myers, Georgia Chenevix‐Trench, Peter A. Fasching, Matthias W. Beckmann, Arif B. Ekici, Alexander Hein, Ignace Vergote, Els Van Nieuwenhuysen, Diether Lambrechts, Kristine G. Wicklund, Ursula Eilber, Shan Wang‐Gohrke, Jenny Chang‐Claude, Anja Rudolph, Lara Sucheston‐Campbell, Kunle Odunsi, Kirsten B. Moysich, Yurii B. Shvetsov, Pamela J. Thompson, Marc T. Goodman, Lynne R. Wilkens, Thilo Dörk, Peter Hillemanns, Matthias Dürst, Ingo B. Runnebaum, Natalia Bogdanova, Liisa M. Pelttari, Heli Nevanlinna, Arto Leminen, Robert P. Edwards, Joseph L. Kelley, Philipp Harter, Ira Schwaab, Florian Heitz, Andreas du Bois, Sandra Oršulić, Jenny Lester, Christine Walsh, Beth Y. Karlan, Estrid Høgdall, Susanne K. Kjær, Allan Jensen, Robert A. Vierkant, Julie M. Cunningham, Ellen L. Goode, Brooke L. Fridley, Melissa C. Southey, Graham G. Giles, Fiona Bruinsma, Xifeng Wu, Michelle A.T. Hildebrandt, Karen H. Lu, Dong Liang, Maria Bisogna, Douglas A. Levine, Rachel Palmieri Weber, Joellen M. Schildkraut, Edwin S. Iversen, Andrew Berchuck, Kathryn L. Terry, Daniel W. Cramer, Shelley S. Tworoger, Elizabeth M. Poole, Sara H. Olson, Irene Orlow, Elisa V. Bandera, Line Bjørge, Ingvild L. Tangen, Helga B. Salvesen, Camilla Krakstad, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Katja K.H. Aben, Anne M. van Altena, Yukie T. Bean, Tanja Pejović, Melissa Kellar, Nhu D. Le, Linda S. Cook, Linda E. Kelemen, Angela Brooks‐Wilson, Jan Lubiński, Jacek Gronwald, Cezary Cybulski, Anna Jakubowska, Nicolas Wentzensen, Louise A. Brinton, Jolanta Lissowska, Hannah Yang, Lotte Nedergaard, Lene Lundvall, Claus Høgdall, Honglin Song, Ian Campbell, Diana Eccles, Rosalind Glasspool, Nadeem Siddiqui, Karen Carty, James Paul, Iain A. McNeish, Weiva Sieh, Valerie McGuire, Joseph H. Rothstein, Alice S. Whittemore, Harvey A. Risch, Catherine M. Phelan, Hoda Anton‐Culver, Argyrios Ziogas, Usha Menon, Susan J. Ramus, Aleksandra Gentry‐Maharaj, Patricia Harrington, Malcolm C. Pike, Francesmary Modugno, Mary Anne Rossing, Roberta B. Ness, Paul D.P. Pharoah, Daniel O. Stram, Anna H. Wu, Celeste Leigh Pearce
Bibliographic record
VenueGynecologic Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalCanada's Michael Smith Genome Sciences CentreBC Cancer AgencySimon Fraser UniversityUniversity of CalgaryAlberta Health Services
FundersNational Institutes of HealthCancer Research UKNational Cancer InstituteNational Institute of Environmental Health SciencesCanadian Institutes of Health ResearchFrancis Crick Institute
KeywordsGenome-wide association studyOvarian cancerOncologySingle-nucleotide polymorphismMedicineGenetic associationBreast cancerBiologyGeneGeneticsCancerInternal medicineBioinformaticsGenotype
Abstract
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 head0.098
GPT teacher head0.405
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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
Citations19
Published2014
Admission routes2
Has abstractno