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Author Correction: Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Kickingereder, Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Felix Sahm, Klaus Maier‐Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier Villanueva‐Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James M. Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, J. Thompson, D. Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, Jayapalli Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Yoshiaki Ota, Toshio Moritani, Sevcan Türk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Κωνσταντίνος Μουστάκας, Christina Kalogeropoulou, Dimitrios Kardamakis, Yoon Seong Choi, Seung‐Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M.J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J.P.E. Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann‐Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett A. Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar M. Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael D. Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, S. Benson, Regina G. H. Beets‐Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, María Trujillo, William Escobar, Ana Lorena Abello, José Bernal, Jhon Gómez, Joseph B. Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan G. Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiß, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik Mani, David Payne, Tahsin Kurç, Enrique Peláez, Heydy Franco-Maldonado, Francis R. Loayza, Sebastián Quevedo, Pamela Guevara, Esteban Torche, Cristóbal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastín, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fábio Ynoe de Moraes, Michael A. Boss, James F. Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz‐Sloan, Jason Martin, Spyridon Bakas
Bibliographic record
VenueNature Communications · 2023
Typeerratum
Languageen
FieldComputer Science
TopicPrivacy-Preserving Technologies in Data
Canadian institutionsQueen's UniversityCentre Hospitalier Universitaire de SherbrookeUniversité de SherbrookeUniversity of Alberta
FundersDOD Peer Reviewed Cancer Research ProgramCHIST-ERAFP7 People: Marie-Curie ActionsDavid Geffen School of Medicine, University of California, Los AngelesNational Center for Advancing Translational SciencesNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthMedical Research CouncilAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalWhiting School of Engineering, Johns Hopkins UniversityAnschutz Medical Campus, University of ColoradoPerelman School of Medicine, University of PennsylvaniaMedical Center, University of PittsburghNational Institutes of HealthUniversitätsklinikum HeidelbergU.S. National Library of MedicineBrigham and Women's HospitalAgencia Nacional de Investigación y DesarrolloOhio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research InstituteNational Science FoundationDeutschen Konsortium für Translationale KrebsforschungMasarykova UniverzitaUniversidade Federal do ParanáDeutsche ForschungsgemeinschaftTechnische Universität MünchenEngineering and Physical Sciences Research CouncilEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloFlinders UniversityLékařská fakulta, Masarykova univerzitaUniversity of OxfordU.S. Department of DefenseCancer Research UKSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Institute of Mental Health and NeurosciencesRadiological Society of North AmericaKepler UniversitätsklinikumUniversity of BernMinisterstvo Zdravotnictví Ceské RepublikyImperial College LondonUniversity of AlbertaNational Institute of Neurological Disorders and StrokeCanadian Institute for Advanced ResearchInselspital, Universitätsspital BernNYU Grossman School of MedicineCase Comprehensive Cancer Center, Case Western Reserve UniversityDeutsches KrebsforschungszentrumAgenția Națională pentru Cercetare și DezvoltareThomas Jefferson UniversitySchool of Medicine, Case Western Reserve UniversityWashington University in St. LouisUniversity of PittsburghJohns Hopkins UniversityOhio State UniversityNational Cancer InstituteAlberta Machine Intelligence InstituteUniversity of Texas MD Anderson Cancer CenterCentre d'Imagerie BioMédicaleConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of PennsylvaniaU.S. Department of Veterans AffairsVarian Medical SystemsUK Research and InnovationCase Western Reserve UniversityMassachusetts General HospitalUniversity of California, Los AngelesIntel CorporationAmerican College of Radiology Imaging Network
KeywordsComputer scienceBig dataBoundary (topology)CancerData scienceData miningBiologyMathematicsGenetics
Abstract
In this article the author name Carmen Balaña was incorrectly written as Carmen Balaña Quintero. The original article has been corrected.
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 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)0.001
metaresearch head score (Gemma)0.056
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesOpen science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.415
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.094 | 0.181 |
| Research integrity | 0.002 | 0.008 |
| 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 head0.108
GPT teacher head0.363
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.
Study designNot applicable
Domainnot available
GenreMethods
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
Citations5
Published2023
Admission routes2
Has abstractyes