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Impaired development of memory B cells and antibody responses in humans and mice deficient in PD-1 signaling
Masato Ogishi, Koji Kitaoka, Kim L. Good‐Jacobson, Darawan Rinchai, Baihao Zhang, Jun Wang, Vincent Gies, Geetha Rao, Tina Nguyen, Danielle T. Avery, Taushif Khan, Megan E. Smithmyer, Joseph Mackie, Rui Yang, Andrés A. Arias, Takaki Asano, Khoren Ponsin, Matthieu Chaldebas, Peng Zhang, Jessica N. Peel, Jonathan Bohlen, Romain Lévy, Simon J. Pelham, Wei-Te Lei, Ji Eun Han, Iris Fagniez, Maya Chrabieh, Candice Lainé, David Langlais, Conor Gruber, Fatima Al Ali, Mahbuba Rahman, Caner Aytekin, Basilin Benson, Matthew J. Dufort, Clara Domingo‐Vila, Kunihiko Moriya, Mark J. Shlomchik, Gülbû Uzel, Paul Gray, Daniel Suan, Kahn Preece, Ignatius Chua, Satoshi Okada, Shunsuke Chikuma, Hiroshi Kiyonari, Timothy Tree, Dusan Bogunovic, Philippe Gros, Nico Marr, Cate Speake, Richard A. Oram, Vivien Béziat, Jacinta Bustamante, Laurent Abel, Bertrand Boisson, Anne‐Sophie Korganow, S. Cindy, Matthew B. Johnson, Kenji Chamoto, Stéphanie Boisson‐Dupuis, Tasuku Honjo, Jean‐Laurent Casanova, Stuart G. Tangye
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
VenueImmunity · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsMcGill University Health CentreMcGill Genome Centre
FundersVermont Agency of Natural ResourcesNational Institutes of HealthNew South Wales GovernmentDivision of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious DiseasesGlenn Foundation for Medical ResearchHonjo International Scholarship FoundationUniversidad de AntioquiaNational Health and Medical Research CouncilSCOR Corporate Foundation for ScienceMinistério da Ciência, Tecnologia e InovaçãoInstitut National de la Santé et de la Recherche MédicaleFondation pour la Recherche MédicaleNational Institute on Handicapped ResearchUniversité Paris-SaclayNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesAustralian GovernmentAgence Nationale de la RechercheTasmanian Department of HealthRockefeller UniversityResearch EnglandIcahn School of Medicine at Mount SinaiMinisterio de Ciencia, Tecnología, Conocimiento e InnovaciónDiabetes UKMinistry of Health, Labour and WelfareSt. Giles FoundationNational Center for Advancing Translational SciencesMedical Research CouncilLeona M. and Harry B. Helmsley Charitable TrustImmune Deficiency FoundationMinisterio de Ciencia, Tecnología e Innovación
KeywordsBiologyAntibodySignal transductionImmunologyCell biology
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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.311
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| 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 head0.027
GPT teacher head0.314
Teacher spread0.287 · 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
Citations23
Published2024
Admission routes1
Has abstractno