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Publisher Correction: Shared heritability and functional enrichment across six solid cancers
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Goodman, Gary Goodman, Kjell Grankvist, Mark H. Greene, Henrik Grönberg, Jacek Gronwald, Pascal Guénel, Niclas Håkansson, Per Hall, Ute Hamann, Freddie C. Hamdy, Robert J. Hamilton, Jochen Hampe, Aage Haugen, Florian Heitz, Rolando Herrero, Peter Hillemanns, Michael Hoffmeister, Estrid Høgdall, Yun‐Chul Hong, John L. Hopper, Richard S. Houlston, Peter J. Hulick, David J. Hunter, David G. Huntsman, Gregory Idos, Evgeny N. Imyanitov, Sue A. Ingles, Claudine Isaacs, Anna Jakubowska, Paul A. James, Mark A. Jenkins, Mattias Johansson, Mikael Johansson, Esther M. John, Amit D. Joshi, Radka Kaneva, Beth Y. Karlan, Linda E. Kelemen, Tabea Kühl, Kay‐Tee Khaw, Э. К. Хуснутдинова, Adam S. Kibel, Lambertus A. Kiemeney, Jeri Kim, Susanne K. Kjær, Julia A. Knight, Manolis Kogevinas, Zsofia Kote‐Jarai, Stella Koutros, Vessela N. Kristensen, Jolanta Kupryjańczyk, Martin Lacko, Stephan Lam, Diether Lambrechts, Maria Teresa Landi, Philip Lazarus, Nhu D. 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Bibliographic record
VenueNature Communications · 2019
Typeerratum
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversité LavalMemorial University of NewfoundlandUniversity of AlbertaSinai Health SystemUniversity of British ColumbiaMcGill UniversityCanada Research ChairsQueen's UniversityBC Cancer AgencyVancouver General HospitalPrincess Margaret Cancer CentreMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteCentre hospitalier universitaire de QuébecRoyal Victoria HospitalUniversity Health NetworkUniversity of Toronto
FundersMedical Research CouncilNational Institute of Environmental Health SciencesNational Institute for Health and Care ResearchNational Cancer InstituteCancer Research UKNovo Nordisk FondenWorld Health Organization
KeywordsHeritabilityComputational biologyComputer scienceBiologyGenetics
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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)0.006
metaresearch head score (Gemma)0.075
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 score0.070
Threshold uncertainty score0.235
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.075 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.070 | 0.030 |
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 head0.033
GPT teacher head0.325
Teacher spread0.292 · 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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Citations15
Published2019
Admission routes1
Has abstractyes