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Record W2586355728

Genome-wide association study unravels genetic determinants of the atopic march

2016· article· en· W2586355728 on OpenAlexaff
Ingo Marenholz, Jorge Esparza-Gordillo, Franz Rueschendorf, David P. Strachan, Ben D. Spycher, Hansjörg Baurecht, Patricia Margaritte‐Jeannin, A. Saeaef, Marjan Kerkhof, Markus Ege, Svetlana Baltic, Melanie C. Matheson, J. Li, Sven Michel, Wei Ang, Wendy L. McArdle, Georg Homuth, Emmanuelle Bouzigon, Göran Pershagen, D.S. Postma, Charlotte Braun‐Fahrlaender, David L. Duffy, Guy B. Marks, C. F. Robertson, Nicholas G. Martin, Anthony James, Patrick Sleiman, R. Foelster‐Holst, Wolfgang Lieb, Christian Gieger, E. Rietschel, Thomas Keil, Markus M. Nöethen, Peter D. Sly, Carsten Oliver Schmidt, Anja Matanovic, Pg P. G. Holt, Susanne Lau, Michael Kabesch, Stephan Weidinger, Håkon Håkonarson, Manuel A. R. Ferreira, Catherine Laprise, Maxim B. Freidin, Jon Genuneit, Gerard H. Koppelman, Erik Melén, Marie‐Hélène Dizier, A. John Henderson, Y.-A. Lee

Bibliographic record

VenueKölner Universitäts PublikationsServer (Universität zu Köln) · 2016
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsGenome-wide association studyGeneticsAtopyGenetic associationMedicineBiologyComputational biologyImmunologyAllergyGenotypeGeneSingle-nucleotide polymorphism
DOInot available

Abstract

fetched live from OpenAlex

Genome-wide association study unravels genetic determinants of the atopic march

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)0.001
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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

Citations0
Published2016
Admission routes1
Has abstractno

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