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Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer
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Bibliographic record
VenueNature Genetics · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsPublic Health OntarioUniversity of British ColumbiaMcGill UniversitySt. Michael's HospitalCanada's Michael Smith Genome Sciences CentreUniversity Health NetworkUniversity of TorontoVancouver General HospitalUniversity of CalgaryPrincess Margaret Cancer CentreLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalOvarian Cancer CanadaUniversité LavalBC Cancer AgencyWomen's College HospitalCentre hospitalier universitaire de Québec
FundersNational Cancer InstituteRadboud Institute for Health SciencesRussian Academy of SciencesCanadian Institutes of Health ResearchKnight Cancer Institute, Oregon Health and Science UniversityCanada's Michael Smith Genome Sciences CentrePerelman School of Medicine, University of PennsylvaniaUniversity of Texas MD Anderson Cancer CenterCancer Council VictoriaSkånes universitetssjukhusSchool of Medicine, Vanderbilt UniversityFogarty International CenterVanderbilt-Ingram Cancer CenterNational Institutes of HealthGovernment of CanadaCentre Léon BérardHaukeland UniversitetssjukehusRadboud Universitair Medisch CentrumOvarian Cancer Research FundHáskóli ÍslandsUniversità degli Studi di FirenzePeter MacCallum Cancer CentreOdense UniversitetshospitalBC Cancer AgencyKarolinska InstitutetDeutsche KrebshilfeMedizinischen Hochschule HannoverMinistry of Earth SciencesUniversity of TorontoQIMR Berghofer Medical Research InstituteLunds UniversitetUniversiteit MaastrichtFrancis Crick InstituteCedars-Sinai Medical CenterWorld Health OrganizationFondation du cancer du sein du QuébecWellcome TrustCancer Research UKMaastricht Universitair Medisch CentrumMoffitt Cancer CenterDivision of Cancer Epidemiology and Genetics, National Cancer InstituteHuntsman Cancer InstituteVanderbilt UniversityCentre Hospitalier Universitaire de QuébecUniversité LavalHelsingin YliopistoGenome CanadaJohns Hopkins UniversityRadboud UniversiteitUniversitetet i BergenGénome QuébecUniversity of PennsylvaniaNational Institute for Health and Care ResearchMassachusetts General Hospital
KeywordsBiologyIdentification (biology)Epithelial ovarian cancerOvarian cancerGeneticsComputational biologyCancerEcology
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 machine prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 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
Citations553
Published2017
Admission routes2
Has abstractno