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Record W4394523182 · doi:10.6084/m9.figshare.13290719

Additional file 13 of DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

2020· dataset· en· W4394523182 on OpenAlexaff
Florianne O. L. Vehmeijer, Leanne K. Küpers, Gemma C. Sharp, Lucas A. Salas, Samantha Lent, Dereje D. Jima, Gwen Tindula, Sarah E. Reese, Cancan Qi, Olena Gruzieva, Christian M. Page, Faisal I. Rezwan, Phillip E. Melton, Ellen A. Nøhr, Geòrgia Escaramís, Peter Rzehak, Anni Heiskala, Tong Gong, Samuli Tuominen, Lu Gao, Jason P. Ross, Anne P. Starling, John W. Holloway, Paul Yousefi, Gunn Marit Aasvang, Lawrence J. Beilin, Anna Bergström, Elisabeth B. Binder, Leda Chatzi, Eva Corpeleijn, Darina Czamara, Brenda Eskenazi, Susan Ewart, Natàlia Ferré, Veit Grote, Dariusz Gruszfeld, Siri E. Håberg, Cathrine Hoyo, Karen Huen, Robert Karlsson, Inger Kull, Jean‐Paul Langhendries, Johanna Lepeule, Maria C. Magnus, Rachel L. Maguire, Peter L. Molloy, Claire Monnereau, Trevor A. Mori, Emily Oken, Katri Räikkönen, Sheryl L. Rifas‐Shiman, Carlos Ruiz-Arenas, Sylvain Sebért, Vilhelmina Ullemar, Elvira Verduci, Judith M. Vonk, Cheng‐Jian Xu, Ivana V. Yang, Hongmei Zhang, Weimin Zhang, Wilfried Karmaus, Dana Dabelea, Beverly S. Mühlhäusler, Carrie V. Breton, Jari Lahti, Catarina Almqvist, Marjo‐Riitta Järvelin, Berthold Koletzko, Martine Vrijheid, Thorkild I. A. Sørensen, Rae‐Chi Huang, Syed Hasan Arshad, Wenche Nystad, Erik Melén, Gerard H. Koppelman, Stephanie J. London, Nina Holland, Mariona Bustamante, Susan K. Murphy, Marie‐France Hivert, Andrea Baccarelli, Caroline L. Relton, Harold Snieder, Vincent W. V. Jaddoe, Janine F. Felix

Bibliographic record

VenueUWA Profiles and Research Repository (UWA) · 2020
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsEpigenomeDNA methylationMeta-analysisIndex (typography)MethylationBody mass indexAssociation (psychology)BiologyGeneticsBioinformaticsComputational biologyMedicinePsychologyDNAComputer scienceInternal medicineWorld Wide WebEndocrinologyGene

Abstract

fetched live from OpenAlex

Additional file 13: Table S11. Associations between DNA methylation at the three Bonferroni-significant CpG-sites with BMI in all age ranges.

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)0.002
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.557
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.5570.046

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 head0.084
GPT teacher head0.374
Teacher spread0.290 · 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.

Study designMeta-analysis
Domainnot available
GenreDataset

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

Citations0
Published2020
Admission routes1
Has abstractyes

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