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Record W4392928726 · doi:10.1093/rheumatology/keae182

TIF1-gamma IgG2 isotype is not associated with malignancy in juvenile dermatomyositis patients

2024· letter· en· W4392928726 on OpenAlexafffund
Huong D. Nguyen, F. Jouen, Benoît Déchelotte, N. Cordel, Cyril Gitiaux, Christine Bodemer, Pierre Quartier, Alexandre Bélot, Kathryn O’Brien, Dario Cancemi, Isabelle Melki, Nicole Fabien, Sarah Tansley, Olivier Boyer, Lucy R. Wedderburn, Brigitte Bader‐Meunier, Kate Armon, Louise Coke, Julie Cook, Amy Nichols, Liza McCann, Ian Roberts, Eileen Baildam, Louise Hanna, Olivia Lloyd, Susan Wadeson, Michelle Andrews, Phil Riley, Ann McGovern, Verna Cuthbert, Clive Ryder, J Scott, Beverley Thomas, T. R. E. Southwood, Eslam Al-Abadi, Ruth Howman, Sue Wyatt, Gillian Jackson, Mark Wood, Tania Amin, Vanessa VanRooyen, Deborah Burton, Louise Turner, Heather Rostron, Sarah Hanson, Joyce Davidson, Janet Gardner‐Medwin, Neil A. Martin, Sue A. Ferguson, Liz Waxman, Michael Browne, Roisin Boyle, Emily Blyth, Mark Friswell, Helen Foster, Sharmila Jandial, V. Stevenson, Debbie Wade, Ethan S Sen, Eve Smith, Stuart Watson, Claire Duong, Stephen Crulley, Andrew J. Davies, Miss Caroline Miller, Lynne Bell, Flora McErlane, Sunil Sampath, Sharon King, H Venning, Satyapal Rangaraj, Elizabeth Stretton, Mary Jordan, Ellen Mosley, Lindsay Crate, Kishore Warrier, Stefanie Stafford, Brogan Wrest, Clarissa Pilkington, Nathan Hasson, Muthana Al-Obadi, Giulia Varnier, Sandrine Lacassagne, Sue Maillard, Lauren E. Stone, Elizabeth Halkon, Virginia Brown, Audrey Juggins, Sally A. Smith, Sian Lunt, Elli Enayat, Hemlata Varsani, Laura Kassoumeri, Laura Beard, Katie Arnold, Yvonne Glackin, Stephanie Simou, Beverley Almeida, Kiran Nistala, Raquel Marques, Claire T. Deakin, Parichat Khaosut, Stefanie Dowle, Charalampia Papadopoulou, Shireena A. Yasin, Christina Boros, Meredyth Wilkinson, Christopher Piper, Cerise Johnson-Moore, Lucy Marshall, Emily Robinson, Dominic Igbelina, Polly Livermore, Socrates Varakliotis, Rosie Hamilton, Kevin Murray, Coziana Ciurtin, J Ioannou, Caitlin Clifford, Linda Suffield, Laura Hennelly, Helen Lee, Helen Smith, Anne-Marie McMahon, Heather Chisem, Jeanette Hall, Amy Huffenberger, Nick Wilkinson, Emma Inness, E. J. C. Kendall, Ruth Etherton, Danielle Miller, Kathryn Bailey, Jacqui Clinch, Natalie Fineman, Helen Pluess-Hall, Suzanne Sketchley, Melanie Marsh, Anna Fry, Maisy Dawkins-Lloyd, Manija Asif, Margaret Connon, Lindsay Vallance, Kirsty Haslam, Charlene Bass-Woodcock, Trudy Booth, Louise Akeroyd, Alice Leahy, Amy Collier, Rebecca Cutts, E. J. MacLeod, Hans de Graaf, Brian Davidson, Sarah Hartfree, Elizabeth Fofana, Lorena Caruana

Bibliographic record

VenueLara D. Veeken · 2024
Typeletter
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsInstitute of Infection and Immunity
FundersNIHR Sheffield Biomedical Research CentreMedical Research CouncilVersus ArthritisUniversity of OxfordUniversity College LondonArthritis Research UKAction Medical ResearchNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchArgenxMyositis AssociationNational Institute for Health and Care ResearchUniversity Hospital Southampton NHS Foundation TrustAgence Nationale de la RechercheWellcome TrustDepartment of Health and Social CareCSL BehringHospital for Sick ChildrenPfizer
KeywordsJuvenile dermatomyositisDermatomyositisIsotypeMalignancyMedicineAntibodyImmunologyDermatologyInternal medicineMonoclonal antibody

Abstract

fetched live from OpenAlex

Huong D Nguyen, Fabienne Jouen, Benoit Déchelotte, Nadège Cordel, Cyril Gitiaux, Christine Bodemer, Pierre Quatier, Alexandre Belot, Kathryn O’Brien, Dario Canc

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 imitation

Not 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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.227
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designObservational
Domainnot available
GenreEmpirical

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

Citations7
Published2024
Admission routes2
Has abstractyes

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