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Record W6944351713 · doi:10.17863/cam.8923

Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

2017· article· en· W6944351713 on OpenAlexfundno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
FundersMedical Research and Materiel CommandErasmus Universitair Medisch Centrum RotterdamInstituto de Salud Carlos IIISydney Medical SchoolCancer Council Western AustraliaCancer Council NSWCancer Council VictoriaWorld Cancer Research FundEuropean Social FundMedical Research CouncilCancer Center, University of KansasNational Institutes of HealthCentre Léon BérardHellenic Health FoundationFreistaat SachsenAkershus UniversitetssykehusLiga Portuguesa Contra o CancroMutuelle Générale de l'Education NationaleInstitut Gustave-RoussyMinistero dello Sviluppo EconomicoRadboud Universitair Medisch CentrumNational Health and Medical Research CouncilDeutsche KrebshilfeCancer Institute NSWMedizinischen Hochschule HannoverUniversitair Medisch Centrum GroningenCancer Council South AustraliaIstituto Oncologico VenetoInstituto MilleniumInstitut National Du CancerLeids Universitair Medisch CentrumUniversitetet i BergenKarolinska InstitutetAssociazione Italiana per la Ricerca sul CancroFondation de FranceStavros Niarchos FoundationFisher Center for Alzheimer's Research FoundationPeter MacCallum Cancer CentreKuopion Yliopistollinen SairaalaBreast Cancer CampaignMinisterstvo Zdravotnictví Ceské RepublikyServicio Gallego de SaludInstitut BergoniéGreat Ormond Street Hospital for ChildrenFonds Wetenschappelijk OnderzoekDeutsche Gesetzliche UnfallversicherungNederlandse Organisatie voor Wetenschappelijk OnderzoekKing's College LondonGentofte HospitalCancerfondenCancer AustraliaRadboud UniversiteitRussian Foundation for Basic ResearchNorges ForskningsrådStockholms Läns LandstingUniversiteit MaastrichtVrije Universiteit AmsterdamUniversity of Western SydneyMaastricht Universitair Medisch CentrumOhio State UniversityUniversiteit LeidenUniversity of CreteMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleRobert Bosch StiftungCenters for Disease Control and PreventionJewish General HospitalNational Institute for Health and Care ResearchUniversity of QueenslandHungarian Scientific Research FundCancer Association of South AfricaDeutsches KrebsforschungszentrumUniversity of AberdeenCanadian Institutes of Health ResearchLietuvos Mokslo TarybaEuropean CommissionFondation du cancer du sein du QuébecQIMR Berghofer Medical Research InstituteUniversitetet i OsloUniversity of NottinghamCalvary Mater NewcastleNottingham University Hospitals NHS TrustNational Breast Cancer FoundationAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailNational Institute of Environmental Health SciencesSwedish Cancer FoundationMedisinske fakultet, Universitetet i OsloHunter Medical Research InstituteDeutscher Akademischer AustauschdienstRoyal Marsden NHS Foundation TrustAgency for Science, Technology and ResearchLon V. Smith FoundationVlaamse regeringFundación Mutua MadrileñaHaukeland UniversitetssjukehusMinistère du Développement Économique, de l’Innovation et de l’ExportationDavid F. and Margaret T. Grohne Family FoundationBreast Cancer Research FoundationGeneralitat de CatalunyaUniverzita Karlova v PrazeKansas Bioscience AuthorityXunta de GaliciaIsrael Cancer AssociationDr. Ralph and Marian Falk Medical Research TrustAgence Nationale de la RechercheUniversity Hospitals of Leicester NHS TrustMinisterio de Economía y CompetitividadNational Center for Advancing Translational SciencesBundesministerium für Bildung und ForschungOvarian Cancer Research FundOdense UniversitetshospitalCentral Manchester University Hospitals NHS Foundation TrustNational Cancer InstituteEuropean Regional Development FundMinisterio de Sanidad, Servicios Sociales e IgualdadGovernment of CanadaNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchNorges Teknisk-Naturvitenskapelige UniversitetCancer Council TasmaniaItä-Suomen YliopistoGenome CanadaInstitut Català de la SalutNewcastle upon Tyne Hospitals NHS Foundation TrustCreighton UniversityIstituto Toscano TumoriTrinity College DublinInstitut Claudius RegaudCalifornia Department of Public HealthHospices Civils de LyonSundhed og Sygdom, Det Frie ForskningsrådOulun YliopistoUniversity of California, San FranciscoUniversitetet i TromsøUniversity of SouthamptonCancer Research UKSusan G. Komen for the Cure
KeywordsBreast cancerEstrogen receptorGenome-wide association studyGenetic associationMutationIdentification (biology)DiseaseCancerCase-control study

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)0.000
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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

Citations0
Published2017
Admission routes1
Has abstractno

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