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Record W2910821381 · doi:10.1038/s41467-018-08105-w

Author Correction: Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

2019· erratum· en· W2910821381 on OpenAlexaff
Amit Sud, Hauke Thomsen, Philip Law, Asta Försti, Miguel Inácio da Silva Filho, Amy Holroyd, Peter Broderick, Giulia Orlando, Oleg Lenive, Lauren B. Wright, Rosie Cooke, Douglas F. Easton, Paul D.P. Pharoah, Alison M. Dunning, Julian Peto, Federico Canzian, Rosalind A. Eeles, Zsofia Kote‐Jarai, Kenneth Muir, Nora Pashayan, Brian E. Henderson, Christopher A. Haiman, Sara Benlloch, Fredrick R. Schumacher, Ali Amin Al Olama, Sonja I. Berndt, David V. Conti, Fredrik Wiklund, Stephen Chanock, Victoria L. Stevens, Catherine M. Tangen, Jyotsna Batra, Judith A. Clements, Henrik Grönberg, Johanna Schleutker, Demetrius Albanes, Stephanie J. Weinstein, Alicja Wolk, Catharine West, Lorelei A. Mucci, Géraldine Cancel‐Tassin, Stella Koutros, Karina D. Sørensen, Lovise Mæhle, David E. Neal, Ruth C. Travis, Robert J. Hamilton, Sue A. Ingles, Barry S. Rosenstein, Yong‐Jie Lu, Graham G. Giles, Adam S. Kibel, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanford, Cezary Cybulski, Børge G. Nordestgaard, Hermann Brenner, Christiane Maier, Jeri Kim, Esther M. John, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Hassan Abdul Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Manuela Gago-Domínguez, Monique J. Roobol, F. Ménégaux, Per Hoffmann, Markus M. Nöthen, Karl‐Heinz Jöckel, Elke Pogge von Strandmann, Tracy Lightfoot, Eleanor Kane, Eve Roman, Annette Lake, Dorothy Montgomery, Ruth F. Jarrett, Anthony J. Swerdlow, Andreas Engert, Nick Orr, Kari Hemminki, Richard S. Houlston

Bibliographic record

VenueNature Communications · 2019
Typeerratum
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of AlbertaPrincess Margaret Cancer Centre
FundersMedical Research CouncilCancer Research UK
KeywordsSpellingKey (lock)Genome-wide association studyComputational biologyAssociation (psychology)GenomeLymphomaDiseaseComputer scienceGeneticsBiologyMedicineSingle-nucleotide polymorphismGeneInternal medicineGenotypePsychologyLinguisticsPhilosophyComputer security

Abstract

fetched live from OpenAlex

The original version of this Article contained an error in the spelling of a member of the PRACTICAL Consortium, Manuela Gago-Dominguez, which was incorrectly given as Manuela Gago Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.

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 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)0.007
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.994
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.086
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0040.002
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0480.025

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 head0.021
GPT teacher head0.313
Teacher spread0.292 · 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.

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueNature Communications→Same topicLymphoma Diagnosis and Treatment→French-language works237,207→