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Author Correction: Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2)
Lara M. Lange, Micol Avenali, Melina Ellis, Anastasia Illarionova, Ignacio Juan Keller Sarmiento, Ai Huey Tan, Harutyun Madoev, Caterina Galandra, Johanna Junker, Karisha Roopnarain, J Solle, Claire Wegel, Zih‐Hua Fang, Peter Heutink, Kishore R. Kumar, Shen‐Yang Lim, Enza Maria Valente, Mike A. Nalls, Cornelis Blauwendraat, Andrew Singleton, Niccolò E. Mencacci, Katja Lohmann, Christine Klein, Emilia Gatto, Marcelo Kauffman, Samson Khachatryan, Zaruhi Tavadyan, Claire E. Shepherd, Julie Hunter, Miguel E. Rentería, Sulev Kõks, Alexander Zimprich, Artur Francisco Schumacher Schuh, Carlos Roberto de Mello Rieder, Paula Saffie Awad, Vítor Tumas, Sarah Camargos, Edward A. Fon, Oury Monchi, Ted Fon, Benjamin Pizarro Galleguillos, Marcelo Miranda, M. Leonor Bustamante, Patricio Olguı́n, Pedro Chaná, Beisha Tang, Huifang Shang, Jifeng Guo, Piu Chan, Wei Luo, Gonzálo Arboleda, Jorge Orozco, Marlene Jiménez-Del-Río, Alvaro G. Hernandez, Mohamed Salama, Walaa A. Kamel, Yared Z. Zewde, Alexis Brice, Jean‐Christophe Corvol, Ana Westenberger, Brit Mollenhauer, Eva‐Juliane Vollstedt, Franziska Hopfner, Günter U. Höglinger, Joanne Trinh, Manu Sharma, Thomas Gasser, Albert Akpalu, Georgia Xiromerisiou, Georgios Hadjigorgiou, Ioannis Dagklis, Ioannis Tarnanas, Leonidas Stefanis, María Stamelou, Efthymios Dadiotis, Alex Medina, Germaine Hiu-Fai Chan, Nancy Y. Ip, Nelson Yuk-Fai Cheung, Phillip Chan, Xiaopu Zhou, Asha Kishore, Divya KP, Pramod Kumar Pal, Prashanth Lingappa Kukkle, Roopa Rajan, Rupam Borgohain, Mehri Salari, Andrea Quattrone, Lucilla Parnetti, Tommaso Schirinzi, Manabu Funayama, Nobutaka Hattori, Tomotaka Shiraishi, Altynay Karimova, Gulnaz Kaishibayeva, Cholpon Shambetova, Rejko Krüger, Azlina Ahmad‐Annuar, Nor Azian Abdul Murad, Norlinah Mohamed Ibrahim, Shahrul Azmin, Wael Mohamed, Yi Wen Tay, Daniel Martínez-Ramírez, Mayela Rodríguez‐Violante, Paula Reyes‐Pérez, Bayasgalan Tserensodnom, Rajeev Ojha, Tim Anderson, Toni L. Pitcher, Arinola Sanyaolu, Njideka Okubadejo, Oluwadamilola O. Ojo, Jan Aasly, Lasse Pihlstrøm, Manuela Tan, Shoaib Ur-Rehman, Mario Cornejo‐Olivas, Maria Leila M. Doquenia, Raymond L. Rosales, Ángel Viñuela, Е. А. Яковенко, Bashayer Al Mubarak, Muhammad Umair, Eng-King Tan, Jia Nee Foo, Ferzana Amod, Jonathan Carr, Soraya Bardien, Beomseok Jeon, Yun Joong Kim, Esther Cubo, Ignacio Álvarez, Janet Hoenicka, Katrin Beyer, María Teresa Periñán, Pau Pástor, Sarah El-Sadig, Christiane Zweier, Krack Paul, Chin‐Hsien Lin, Hsiu-Chuan Wu, Pin‐Jui Kung, Ruey‐Meei Wu, Serena Wu, Yih‐Ru Wu, Rim Amouri, Samia Ben Sassi, A. Nazl Başak, Gençer Genç, Özgür Öztop Çakmak, Sibel Ertan, Alastair J. Noyce, Alejandro Martínez-Carrasco, Anette Schrag, Anthony H.V. Schapira, Camille Carroll, Claire Bale, Donald G. Grosset, Eleanor J. Stafford, Henry Houlden, Huw R. Morris, John Hardy, Kin Y. Mok, Mie Rizig, Nicholas Wood, Nigel Williams, Olaitan Okunoye, Patrick A. Lewis, Rauan Kaiyrzhanov, Rimona S. Weil, Seth Love, Simon Stott, Simona Jasaitye, Sumit Dey, Vida Obese, Alberto J. Espay, Alyssa O’Grady, Andrew K. Sobering, Bernadette Siddiqi, Bradford Casey, Brian Fiske, Cabell Jonas, Carlos Cruchaga, Caroline B. Pantazis, Charisse Comart, Dan Vitale, Deborah A. Hall, Dena Hernández, Ejaz Shiamim, Ekemini Riley, Faraz Faghri, Geidy E. Serrano, Hampton L. Leonard, Hirotaka Iwaki, Honglei Chen, Ignácio F. Mata, Jared Williamson, Jonggeol Jeff Kim, Joseph Jankovic, Joshua Shulman, Kaileigh Murphy, Karen Nuytemans, Karl Kieburtz, Katerina Markopoulou, Kenneth Marek, Kristin Levine, Lana M. Chahine, Laurel A. Screven, Lauren Ruffrage, Lisa M. Shulman, Luca Marsili, Maggie Kuhl, Marissa Dean, Mary B. Makarious, Mathew J. Koretsky, Miguel Inca‐Martinez, Naomi Louie, Roger L. Albin, Roy N. Alcalay, Ruth Walker, Sara Bandrés‐Ciga, Sohini Chowdhury, Sonya B. Dumanis, Steven Lubbe, Tao Xie, Tatiana M. Foroud, Thomas Beach, Todd Sherer, Yeajin Song, Duan Nguyen, Toan Nguyen, Masharip Atadzhanov
Bibliographic record
Venuenpj Parkinson s Disease · 2023
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMcGill UniversityInstitut Universitaire de Gériatrie de MontréalMontreal Neurological Institute and Hospital
FundersBarts Charity
KeywordsParkinson's diseaseDiseaseGeneticsMedicineBiologyNeuroscienceBioinformaticsInternal medicine
Abstract
In this article the Global Parkinson’s Genetics Program (GP2) members names and affiliations were missing in the main author list of the Original article which are listed in the below.
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)0.002
metaresearch head score (Gemma)0.032
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 score0.061
Threshold uncertainty score0.203
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.061 | 0.028 |
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 head0.016
GPT teacher head0.321
Teacher spread0.304 · 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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Citations1
Published2023
Admission routes1
Has abstractyes