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Growth and development of islet autoimmunity and type 1 diabetes in children genetically at risk
Anita Nucci, Suvi Μ. Virtanen, David Cuthbertson, Johnny Ludvigsson, Ülle Einberg, Céline Huot, Luís Castaño, B Aschemeier, Dorothy Becker, Jeffrey P. Krischer, Thomas Mandrup‐Poulsen, Elias Arjas, Esa Läärä, Åke Lernmark, Barbara Schmidt, Hans K. Åkerblom, Mila Hyytinen, Katriina Koski, Matti Koski, Eeva Pajakkala, Marja Salonen, Linda Shanker, Brenda Bradley, John Dupré, William D. Fraser, Margaret L. Lawson, Jeffrey L. Mahon, Shayne Taback, Margaret Franciscus, Jacki Catteau, Neville J. Howard, Patricia Crock, Maria E. Craig, Cheril Clarson, Lynda Bere, David Thompson, Daniel L. Metzger, Colleen Marshall, Jennifer Kwan, David Stephure, Danièle Pacaud, Wendy Schwarz, Rose Girgis, Marilyn S. Thompson, Daniel Catte, Denis Daneman, Mary‐Jean Martin, Valérie Morin, L. Frenette, Suzanne Ferland, Susan Sanderson, Kathy Heath, Monique Gonthier, Maryse Thibeault, Laurent Legault, Diane Laforte, Elizabeth Cummings, Karen A. Scott, Tracey Bridger, Cheryl Crummell, Robyn L. Houlden, Adriana Breen, George Carson, Sheila Kelly, Koravangattu Sankaran, Marie Penner, Richard A. White, Nancy King, James Popkin, Laurie Robson, Eva Al Taji, Pavla Mendlová, Martina Romanová, J Vavřinec, Jan Vosáhlo, Ludmila Brázdová, Jitřenka Venháčová, Petra Venháčová, A. Cipra, Zdeňka Tomšíková, Petra Paterová, Pavla Gogelova, Mall‐Anne Riikjärv, Anne Ormisson, Vallo Tillmann, Susanne Johansson, Päivi Kleemola, Anna Parkkola, Anna‐Liisa Järvenpää, Anu‐Maaria Hämäläinen, Sanne Kiiveri, Maria Salonen, Sirpa Tenhola, Pia Salonen, Eeva Jason, Jenni Selvenius, Heli Siljander, Samuli Ylitalo, Ilkka Paajanen, Timo Talvitie, Kaija Lindström, Hanna Huopio, Jouni Pesola, Riitta Veijola, Päivi Tapanainen, Abram Alar, Erik Popov, Ritva Virransalo, Päivi Nykänen, Thomas Danne, Olga Kordonouri, Dóra Krikovszky, L Madácsy, Yeganeh Manon Khazrai, Ernesto Maddaloni, Paolo Pozzilli, Carla Mannu, Marco Songini, Carine de Beaufort, Ulrike Schierloh, Jan Bruining, Margriet Bisschoff, Aleksander Basiak, R Wasikówa, Marta Ciechanowska, Grażyna Deja, Przemysława Jarosz‐Chobot, Agnieszka Szadkowska, Katarzyna Cypryk, Małgorzata Zawodniak-Szałapska, Teba Gonzalez Frutos, Mirentxu Oyarzabal, Manuel Serrano‐Ríos, Nicholas G. Martin, Federico Hawkins, D Arnau, Malgorzata Smolinska Konefal, Ragnar Hanås, Bengt Lindblad, Nils-Östen Nilsson, Hans Fors, Maria Nordwall, Agne Lindh, H Edenwall, Jan Åman, Calle Johansson, Margrit Gadient, Daniel Konrad, Eugen J. Schoenle, Ashi Daftary, Mary Beth Klein, Carol Gilmour, P. Brandon Malone, Marilyn Tanner‐Blasiar, Neil H. White, Uday Devaskar, Heather Horowitz, Lisa R. Rogers, Roxana Colón, Teresa Frazer, Jose Torres, Robin Goland, Ellen Greenberg, Holly C. Schachner, Barney Softness, Jorma Ilonen, Massimo Trucco, Lynn Nichol, Erkki Savilahti, Taina Härkönen, Mikael Knip, Outi Vaarala, Kristiina Luopajärvi
Bibliographic record
VenueDiabetologia · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health Research
KeywordsMedicineType 1 diabetesOverweightProportional hazards modelHazard ratioAutoantibodyPopulationInternal medicineDiabetes mellitusType 2 diabetesBirth weightDemographyEndocrinologyImmunologyObesityPregnancyBiologyEnvironmental healthConfidence intervalAntibodyGenetics
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.
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)0.001
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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 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
Citations21
Published2021
Admission routes2
Has abstractno