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Correction: Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)
Rebecca Hein, Melanie Maranian, John L. Hopper, Miroslaw K. Kapuscinski, Melissa C. Southey, Daniel J. Park, Marjanka K. Schmidt, Annegien Broeks, Frans B.L. Hogervorst, H. Bas Bueno-de-Mesquit, Kenneth Muir, Artitaya Lophatananon, Suthee Rattanamongkongul, Puttisak Puttawibul, Peter A. Fasching, Alexander Hein, Arif B. Ekici, Matthias W. Beckmann, Olivia Fletcher, Nichola Johnson, Isabel dos‐Santos‐Silva, Julian Peto, Elinor J. Sawyer, Ian Tomlinson, Michael J. Kerin, Nicola Miller, Frederick Marmee, Andreas Schneeweiß, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Emilie Cordina‐Duverger, F. Ménégaux, Stig E. Bojesen, Børge G. Nordestgaard, Henrik Flyger, Roger L. Milne, José Ignacio Arias Pérez, M. Pilar Zamora, Javier BenÃtez, Hoda Anton‐Culver, Argyrios Ziogas, Leslie Bernstein, Christina A. Clarke, Hermann Brenner, Heiko Mà ⁄ ller, Volker Arndt, Christa Stegmaier, Nazneen Rahman, Sheila Seal, Clare Turnbull, Anthony Renwick, Alfons Meindl, Sarah Schott, Claus R. Bartram, Rita K. Schmutzler, Hiltrud Brauch, Ute Hamann, Yon‐Dschun Ko, Shan Wang‐Gohrke, Thilo Dörk, Peter Schà ⁄ rmann, Johann H. Karstens, Peter Hillemanns, Heli Nevanlinna, Tuomas Heikkinen, Kristiina Aittomäki, Carl Blomqvist, Natalia Bogdanova, Iosif V. Zalutsky, Natalia Antonenkova, Marina Bermisheva, Darya Prokovieva, Albina Farahtdinova, Э. К. Хуснутдинова, Annika Lindblom, Sara Margolin, Vesa Kataja, Veli‐Matti Kosma, Jaana M. Hartikainen, Jonathan Beesley, kConFab Investigators, Diether Lambrechts, Hui Zhao, Patrick Neven, Hans Wildiers, Stefan Nickels, Dieter Flesch‐Janys, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Fergus J. Couch, Janet E. Olson, Xianshu Wang, Zachary Fredericksen, Graham G. Giles, Laura Baglietto, Catriona McLean, Gianluca Severi, Kenneth Offit, Mark E. Robson, Mia M. Gaudet, Joseph Vijai, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise BĂ ̧Rresen-Dale, Esther M. John, Alexander Miron, Robert Winqvist, Katri Pylkäs, Arja Jukkola‐Vuorinen, Mervi Grip, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Anna Marie Mulligan, Jonine D. Figueroa, Jolanta Lissowska, Mark E. Sherman, Maartje J. Hooning, John W.M. Martens, Caroline Seynaeve, Margriet Collée, Per Hall, Keith Humpreys, Kamila Czene, Jianjun Liu, Angela Cox, Ian W. Brock, Simon S. Cross, Malcolm Reed, Shahana Ahmed, Maya Ghoussaini, Paul DP. Pharoah, Daehee Kang, Keun-Young Yoo, Dong‐Young Noh, Anna Jakubowska, Katarzyna Jaworska, Katarzyna Durda, ElÅ ⁄ bieta ZÅowocka, Suleeporn Sangrajrang, Valérie Gaborieau, Paul Brennan, James McKay, Chen‐Yang Shen, Jyh‐Cherng Yu, Huan-Ming Hsu, Ming‐Feng Hou, Nick Orr, Minouk J. Schoemaker, Alan Ashworth, Anthony J. Swerdlow, Amy Trentham‐Dietz, Polly A. Newcomb, Linda Titus, Kathleen M. Egan, Georgia Chenevix‐Trench, Antonis C. Antoniou, Manjeet K. Humphreys, Jonathan J. Morrison, Jenny Chang‐Claude, Douglas F. Easton, Alison M. Dunning
Bibliographic record
VenuePLoS ONE · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
FundersMedical Research and Materiel CommandNational Cancer InstituteCancer Council TasmaniaMedical Research CouncilUniversity of California, IrvineU.S. ArmyNational Institutes of HealthCancer Research UKUniversität UlmBreast Cancer Research TrustRheinische Friedrich-Wilhelms-Universität BonnAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailAgence Française de Sécurité Sanitaire de l'Environnement et du TravailFondazione Italiana per la Ricerca sul CancroInstitut National Du CancerNational Health and Medical Research CouncilOulun YliopistoDeutsche KrebshilfeMedizinischen Hochschule HannoverNorges ForskningsrådAcademia SinicaKuopion Yliopistollinen SairaalaDeutsche ForschungsgemeinschaftDeutsche Gesetzliche UnfallversicherungInstitute of Biomedical Sciences, Academia SinicaMinistero della SaluteAgence Nationale de la RechercheBundesministerium für Bildung und ForschungNational Breast Cancer FoundationAgency for Science, Technology and ResearchAcademy of FinlandKing's College LondonAlleanza Contro il CancroMemorial Sloan-Kettering Cancer CenterCancerfondenFondation de FranceBreast Cancer CampaignNational Institute for Health and Care ResearchAssociazione Italiana per la Ricerca sul CancroItä-Suomen YliopistoLon V. Smith FoundationU.S. Department of Health and Human ServicesMayo ClinicSundhed og Sygdom, Det Frie ForskningsrådCentre International de Recherche sur le CancerLigue Contre le CancerDeutsches KrebsforschungszentrumCancer Council VictoriaCalifornia Department of Public HealthHelsingin ja Uudenmaan SairaanhoitopiiriKWF KankerbestrijdingHerlev HospitalSusan G. Komen for the CureTaiwan BiobankEuropean CommissionBreast Cancer Research FoundationCancer Care Ontario
KeywordsBreast cancerMedicineGenome-wide association studyOncologyInternal medicineCancerBioinformaticsComputational biologyBiologyGeneticsSingle-nucleotide polymorphismGeneGenotype
Abstract
[This corrects the article on p. e42380 in vol. 7.].
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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)0.008
metaresearch head score (Gemma)0.118
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.107
Threshold uncertainty score0.356
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.118 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.107 | 0.024 |
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 head0.041
GPT teacher head0.296
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther
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".
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Citations4
Published2012
Admission routes1
Has abstractyes