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Author Correction: A deep catalogue of protein-coding variation in 983,578 individuals
Kathie Sun, Xiaodong Bai, Siying Chen, Suying Bao, Chuanyi Zhang, Manav Kapoor, Joshua Backman, Tyler Joseph, Evan K. Maxwell, George Mitra, Alexander Gorovits, Adam J. Mansfield, Boris Boutkov, Sujit Gokhale, Lukas Habegger, Anthony Marcketta, Adam E. Locke, Liron Ganel, Alicia Hawes, Michael D. Kessler, Deepika Sharma, Jeffrey Staples, Jonas Bovijn, Sahar Gelfman, Alessandro Di Gioia, Veera M. Rajagopal, Alexander Lopez, Jennifer Rico Varela, Jesús Alegre-Díaz, Jaime Berúmen, Roberto Tapia‐Conyer, Pablo Kuri‐Morales, Jason Torres, Jonathan Emberson, Rory Collins, Gonçalo R. Abecasis, Giovanni Coppola, Andrew Deubler, Aris Economides, Adolfo A. Ferrando, Luca A. Lotta, Alan R. Shuldiner, Katherine Siminovitch, Christina Beechert, Erin D. Brian, Laura M. Cremona, Hang Du, Caitlin Forsythe, Zhenhua Gu, Kristy Guevara, Michael Lattari, Kia Manoochehri, Prathyusha Challa, Manasi Pradhan, Raymond Reynoso, Ricardo Schiavo, Maria Sotiropoulos Padilla, Chenggu Wang, Sarah E. Wolf, Amelia Averitt, Nilanjana Banerjee, Dadong Li, Sameer Malhotra, Justin Mower, Mudasar Sarwar, Jeffrey C. Staples, Sean Yu, Aaron Zhang, Andrew Bunyea, Krishna Pawan Punuru, Sanjay Sreeram, Gisu Eom, Benjamin Sultan, Rouel Lanche, Vrushali Mahajan, Eliot Austin, Sean O’Keeffe, Razvan Panea, Tommy Polanco, Ayesha Rasool, Lance Zhang, Evan Edelstein, Ju Guan, Olga Krasheninina, Samantha Zarate, Manuel Allen Revez Ferreira, Kathy Burch, Adrián I. Campos, Lei Chen, Sam Choi, Amy Damask, Sheila M. Gaynor, Benjamin Geraghty, Arkopravo Ghosh, Salvador Romero Martinez, Christopher E. Gillies, Lauren Gurski, Joseph Herman, Eric Jorgenson, Jack A. Kosmicki, Nan Lin, Priyanka Nakka, Karl Landheer, Olivier Delaneau, Maya Ghoussaini, Joelle Mbatchou, Arden Moscati, Aditeya Pandey, Anita Pandit, Charles Paulding, Jonathan Ross, Carlo Sidore, Eli Stahl, Maria Suciu, Peter VandeHaar, Sailaja Vedantam, Scott Vrieze, Jingning Zhang, Rujin Wang, Kuan-Han Wu, Bin Ye, Blair Zhang, Andrey Ziyatdinov, Yuxin Zou, Kyoko Watanabe, Mira Tang, Brian D. Hobbs, Jon Silver, William Palmer, Rita Guerreiro, Amit D. Joshi, Antoine Baldassari, Cristen J. Willer, Sarah E. Graham, Ernst Mayerhofer, Mary E. Haas, Niek Verweij, George Hindy, Tanima De, Parsa Akbari, Luanluan Sun, Olukayode Sosina, Arthur Gilly, Peter Dornbos, Juan L. Rodríguez-Flores, Moeen Riaz, Gannie Tzoneva, Momodou W. Jallow, Anna Alkelai, Ariane Ayer, Vijay Kumar, Jacqueline M. Otto, Neelroop Parikshak, Ayşegül Güvenek, José Brás, Silvia Álvarez, Jessie Brown, Jing He, Hossein Khiabanian, Joana Revez, Kimberly Skead, Valentina A. Zavala, Lyndon J. Mitnaul, Marcus B. Jones, Esteban Chen, Michelle G. LeBlanc, Jason Mighty, Nirupama Nishtala, Nadia Rana, Jennifer Rico‐Varela, Jaimee Hernandez, Alison Fenney, Randi Schwartz, Jody Hankins, Samuel F. M. Hart, Ann Perez-Beals, Gina Solari, Johannie Rivera-Picart, Michelle Pagan, Sunilbe Siceron, David I. Gwynne, Jerome I. Rotter, Robert Weinreb, Jonathan L. Haines, Margaret A. Pericak‐Vance, Dwight Stambolian, Nir Barzilai, Yousin Suh, Zhengdong Zhang, Elliot Hong, Braxton D. Mitchell, Nicholas B. Blackburn, Simon Broadley, Marzena J. Fabis‐Pedrini, Vilija Jokubaitis, Allan G. Kermode, Trevor J. Kilpatrick, Stephen J Leslie, Bennet J. McComish, Allan Motyer, Grant P. Parnell, Rodney J. Scott, Bruce Taylor, Justin P. Rubio, Danish Saleheen, Ken Kaufman, Leah C. Kottyan, Lisa W. Martin, Marc E. Rothenberg, Abdullah Mahmood Ali, Azra Raza, Jonathan Cohen, Adam R. Glassman, William E. Kraus, Christopher B. Newgard, Svati H. Shah, Jamie E. Craig, Alex W. Hewitt, Naga Chalasani, Tatiana Foroud, Suthat Liangpunsakul, Nancy J. Cox, M. Eileen Dolan, Omar El-Charif, Lois B. Travis, Heather E. Wheeler, Eric R. Gamazon, Lori C. Sakoda, John S. Witte, Kostantinos Lazaridis, Adam H. Buchanan, David J. Carey, Christa Lese Martin, Michelle N. Meyer, Kyle Retterer, David D.K. Rolston, Nirmala Akula, Emily Besançon, Sevilla D. Detera‐Wadleigh, Layla Kassem, Francis J. McMahon, Thomas G. Schulze, Allan Gordon, Maureen E. Smith, John Varga, Yuki Bradford, Scott M. Damrauer, Stephanie DerOhannessian, Theodore G. Drivas, Scott Dudek, Joseph Dunn, Ned Haubein, Renae Judy, Yi-An Ko, Colleen Morse Kripke, Meghan Livingstone, Nawar Naseer, Kyle P. Nerz, Afiya Poindexter, Marjorie Risman, Salma Santos, Giorgio Sirugo, Julia Stephanowski, Teo Tran, Fred Vadivieso, Anurag Verma, Shefali S. Verma, JoEllen Weaver, Colin Wollack, Daniel J. Rader, Marylyn D. Ritchie, Joan M. O’Brien, Erwin P. Böttinger, Judy H. Cho, S. Louis Bridges, Robert P. Kimberly, Marlena S. Fejzo, Richard A. Spritz, James T. Elder, Rajan P. Nair, Philip E. Stuart, Lam C. Tsoi, Robert Dent, Ruth McPherson, Brendan J. Keating, Erin E. Kershaw, Georgios I. Papachristou, David C. Whitcomb, Shervin Assassi, Maureen D. Mayes, Eric D. Austin, Michael Cantor, Timothy A. Thornton, Hyun Min Kang, John D. Overton, María Laura Cremona, Mona Nafde, Aris Baras, Jonathan Marchini, Jeffrey G. Reid, William Salerno, Suganthi Balasubramanian
Bibliographic record
VenueNature · 2025
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsVariation (astronomy)Computational biologyCoding (social sciences)Computer scienceBiologyMathematicsStatisticsPhysicsAstrophysics
Abstract
Since the version of the article initially published, in the Data availability section, the sentence “Regeneron can make GHS individual-level genomic data available to qualified academic noncommercial researchers through the Regeneron pre-clinical Research portal at https://regeneron.envisionpharma.com/vt_regeneron/ under a data access agreement” has been updated in the HTML and PDF 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 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)0.004
metaresearch head score (Gemma)0.061
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 score0.079
Threshold uncertainty score0.264
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.079 | 0.041 |
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 head0.005
GPT teacher head0.276
Teacher spread0.270 · 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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Citations0
Published2025
Admission routes1
Has abstractyes