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Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes
Siwei Chen, Laurent C. Francioli, Julia K. Goodrich, Ryan L. Collins, Masahiro Kanai, Qingbo S. Wang, Jessica Alföldi, Nicholas A. Watts, Christopher Vittal, Laura D. Gauthier, Timothy Poterba, Michael W. Wilson, Yekaterina Tarasova, William Phu, Riley Grant, Mary T. Yohannes, Zan Koenig, Yossi Farjoun, Eric Banks, Stacey Donnelly, Stacey Gabriel, Namrata Gupta, Steven Ferriera, Charlotte Tolonen, Sam Novod, Louis Bergelson, David Roazen, Valentín Ruano-Rubio, Miguel Covarrubias, Christopher Llanwarne, Nikelle Petrillo, Gordon Wade, Thibault Jeandet, Ruchi Munshi, Kathleen Tibbetts, María T. Abreu, Carlos A. Aguilar‐Salinas, Tariq Ahmad, Christine M. Albert, Diego Ardissino, Irina M. Armean, Elizabeth G. Atkinson, Gil Atzmon, John Barnard, Samantha Baxter, Laurent Beaugerie, Emelia J. Benjamin, David Benjamin, Michael Boehnke, Lori L. Bonnycastle, Erwin P. Böttinger, Donald W. Bowden, Matthew J. Bown, Harrison Brand, Steven R. Brant, Ted Brookings, Sam Bryant, Sarah E. Calvo, Hannia Campos, John C. Chambers, Juliana C.N. Chan, Katherine R. Chao, Sinéad B. Chapman, Daniel I. Chasman, Rex L. Chisholm, Judy H. Cho, Rajiv Chowdhury, Mina K. Chung, Wendy K. Chung, Kristian Cibulskis, Bruce M. Cohen, Kristen M. Connolly, Adolfo Correa, Beryl B. Cummings, Dana Dabelea, John Danesh, Dawood Darbar, Phil Darnowsky, Joshua C. Denny, Ravindranath Duggirala, Josée Dupuis, Patrick T. Ellinor, Roberto Elosúa, James Emery, Eleina England, Jeanette Erdmann, Tõnu Esko, Emily Evangelista, Diane Fatkin, José C. Florez, André Franke, Jack Fu, Martti Färkkilâ, Kiran Garimella, Jeff Gentry, Gad Getz, David C. Glahn, Benjamin Gläser, Stephen J. Glatt, David B. Goldstein, Clicerio González, Leif Groop, Sanna Gudmundsson, Andrea Haessly, Christopher A. Haiman, Ira M. Hall, Craig L. Hanis, Matthew Harms, Mikko Hiltunen, Matti Holi, Christina M. Hultman, Chaim Jalas, Mikko Kallela, Diane Kaplan, Jaakko Kaprio, Sekar Kathiresan, Eimear E. Kenny, Bong-Jo Kim, Young Jin Kim, Daniel A. King, George Kirov, Jaspal S. Kooner, Seppo Koskinen, Harlan M. Krumholz, Subra Kugathasan, Soo Heon Kwak, Markku Laakso, Nicole J. Lake, Trevyn Langsford, Kristen M. Laricchia, Terho Lehtimäki, Monkol Lek, Emily Lipscomb, Ruth J. F. Loos, Wenhan Lu, Steven A. Lubitz, Teresa Tusie Luna, Ronald C.W., Gregory M. Marcus, Jaume Marrugat, Kari M. Mattila, Steven A. McCarroll, Mark I. McCarthy, Jacob L. McCauley, Dermot McGovern, Ruth McPherson, James B. Meigs, Olle Melander, Andres Metspalu, Deborah A. Meyers, Eric Vallabh Minikel, Braxton D. Mitchell, Vamsi K. Mootha, Aliya Naheed, Saman Nazarian, Peter M. Nilsson, Michael O‘Donovan, Yukinori Okada, Döst Öngür, Lorena Orozco, Michael J. Owen, Aarno Palotie, Kyong Soo Park, Carlos N. Pato, Ann E. Pulver, Dan Rader, Nazneen Rahman, Alex P. Reiner, Anne M. Remes, Dan Rhodes, Stephen S. Rich, John D. Rioux, Samuli Ripatti, Dan M. Roden, Jerome I. Rotter, Nareh Sahakian, Danish Saleheen, Veikko Salomaa, Andrea Saltzman, Nilesh J. Samani, Kaitlin E. Samocha, Alba Sanchis-Juan, Jeremiah M. Scharf, Molly Schleicher, Heribert Schunkert, Sebastian Schönherr, Eleanor G. Seaby, Svati H. Shah, Megan Shand, Ted Sharpe, M. Benjamin Shoemaker, Tai E. Shyong, Edwin K. Silverman, Moriel Singer‐Berk, Pamela Sklar, Jonathan T. Smith, J. G. Smith, Hilkka Soininen, Harry Sokol, Rachel G. Son, José Soto, Tim D. Spector, Christine Stevens, Nathan O. Stitziel, Patrick F. Sullivan, Jaana Suvisaari, E Shyong Tai, Kent D. Taylor, Yik Ying Teo, Ming T. Tsuang, Dan Turner, Teresa Tusié‐Luna, Erkki Vartiainen, Marquis P. Vawter, Lily Wang, Arcturus Wang, James S. Ware, Hugh Watkins, Rinse K. Weersma, Ben Weisburd, Maija Wessman, Nicola Whiffin, James G. Wilson, Ramnik J. Xavier, Anne O’Donnell‐Luria, Matthew Solomonson, Cotton Seed, Alicia R. Martin, Michael E. Talkowski, Heidi L. Rehm, Mark J. Daly, Grace Tiao, Benjamin M. Neale, Daniel G. MacArthur, Konrad J. Karczewski
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
Bibliographic record
VenueNature · 2024
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsUniversité de MontréalMontreal Heart InstituteUniversity of OttawaMcGill University
FundersWellcome Trust
KeywordsConstraint (computer-aided design)Variation (astronomy)Computational biologyGenomeHuman genomeBiologyGeneticsEvolutionary biologyGeneMathematicsPhysics
Abstract
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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 itQuick stats
Citations184
Published2024
Admission routes1
Has abstractno