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Record W6925497781 · doi:10.17863/cam.43480

The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer.

2019· article· en· W6925497781 on OpenAlexfundno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsnot available
FundersServicio Gallego de SaludInstituto de Salud Carlos IIICancer Council Western AustraliaWorld Cancer Research FundMedical Research CouncilCancer Center, University of KansasUniversity of California, IrvineUniversity of California, San FranciscoMinistero dell'Università e della RicercaHellenic Health FoundationInstitut Català de la SalutCentro de Investigación Biomédica en Red de CáncerFederal Agency for Scientific OrganizationsLiga Portuguesa Contra o CancroMinistero dello Sviluppo EconomicoUppsala UniversitetIstituto Oncologico VenetoMemorial Sloan-Kettering Cancer CenterInstitut National Du CancerNational Health and Medical Research CouncilDeutsche KrebshilfeMutuelle Générale de l'Education NationaleRoyal Marsden NHS Foundation TrustSahlgrenska UniversitetssjukhusetFondazione Umberto VeronesiFox Chase Cancer CenterKWF KankerbestrijdingVetenskapsrådetStockholms Läns LandstingFreistaat SachsenRoyal Adelaide HospitalFisher Center for Alzheimer's Research FoundationPeter MacCallum Cancer CentreKuopion Yliopistollinen SairaalaAssociazione Italiana per la Ricerca sul CancroKarolinska InstitutetLinköpings UniversitetHungarian Scientific Research FundUniversity of Southern CaliforniaCancerfondenLandspítali HáskólasjúkrahúsMinisterio de Economía y CompetitividadNational Center for Advancing Translational SciencesBundesministerium für Bildung und ForschungImperial College LondonGentofte HospitalFondation ARC pour la Recherche sur le CancerAmerican Cancer SocietyCancer AustraliaRussian Foundation for Basic ResearchMonash UniversityUniversity of CreteMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleDeutsche Gesetzliche UnfallversicherungNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftDeutscher Akademischer AustauschdienstProgramme Grants for Applied ResearchRobert Bosch StiftungLigue Contre le CancerInvitaeUniversity of WestminsterAgence Nationale de la RechercheNational Breast Cancer FoundationMcGill UniversityGeneralitat de CatalunyaCancer Institute NSWUniversity College LondonHospital de Câncer de BarretosUmeå UniversitetInstitució Catalana de Recerca i Estudis AvançatsCentres de Recerca de CatalunyaNational Cancer InstituteEuropean Regional Development FundMinisterio de Sanidad, Servicios Sociales e IgualdadUniversity of CambridgeNemzeti Kutatási Fejlesztési és Innovációs HivatalGovernment of CanadaStavros Niarchos FoundationUniversity of PennsylvaniaFondation de FranceGeorgetown UniversityBreast Cancer CampaignNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailSwedish Cancer FoundationDavid F. and Margaret T. Grohne Family FoundationCalifornia Department of Public HealthWestmead Millennium Institute for Medical ResearchDeutsches KrebsforschungszentrumBreast Cancer Research FoundationHelsingin ja Uudenmaan SairaanhoitopiiriMinistère du Développement Économique, de l’Innovation et de l’ExportationFundación Mutua MadrileñaLon V. Smith FoundationGenome CanadaItä-Suomen YliopistoCenters for Disease Control and PreventionJewish General HospitalNational Institute for Health and Care ResearchNational Institutes of HealthDivision of Cancer Prevention, National Cancer InstituteUniversity of ChicagoNRG OncologyFondation du cancer du sein du QuébecBeckman Research Institute, City of HopeXunta de GaliciaDr. Ralph and Marian Falk Medical Research TrustCanadian Institutes of Health ResearchEuropean CommissionAstraZenecaKansas Bioscience AuthorityInstitut Gustave-RoussyFundación CellexOak FoundationSundhed og Sygdom, Det Frie ForskningsrådOhio State UniversityU.S. Department of Health and Human ServicesCancer Research UKSusan G. Komen for the CurePfizerFanconi Anemia Research FundFonds Wetenschappelijk Onderzoek
KeywordsCHEK2Breast cancerPALB2GermlineCancerDiseaseOlaparibGermline mutationGenetic predispositionBRCA2 Protein

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)0.001
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.169
Teacher spread0.160 · 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
Published2019
Admission routes1
Has abstractno

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