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Record W1986435440 · doi:10.1016/j.jaci.2013.08.049

Novel childhood asthma genes interact with in utero and early-life tobacco smoke exposure

2013· letter· en· W1986435440 on OpenAlexafffund
Salome Scholtens, Dirkje S. Postma, Miriam F. Moffatt, Sviatlana Panasevich, Raquel Granell, A. John Henderson, Erik Melén, Fredrik Nyberg, Göran Pershagen, Deborah Jarvis, Adaikalavan Ramasamy, Matthias Wjst, Cecilie Svanes, Emmanuelle Bouzigon, Florence Démenais, F. Kauffmann, Valérie Siroux, Erika von Mutius, Markus Ege, Charlotte Braun‐Fahrländer, Jon Genuneit, Bert Brunekreef, Henriëtte A. Smit, Alet H. Wijga, Marjan Kerkhof, Ivan Curjuric, Medea Imboden, Gian Andri Thun, Nicole Probst‐Hensch, Maxim B. Freidin, E. Yu. Bragina, И. А. Деев, В. П. Пузырев, Denise Daley, Julie Park, Allan B. Becker, Moira Chan‐Yeung, Anita L. Kozyrskyj, Peter D. Paré, Ingo Marenholz, Susanne Lau, Thomas Keil, Youngae Lee, Michael Kabesch, Cisca Wijmenga, Lude Franke, Ilja M. Nolte, Judith M. Vonk, Ashish Kumar, Martin Farrall, William Cookson, David P. Strachan, Gerard H. Koppelman, H. Marike Boezen

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2013
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of AlbertaUniversity of ManitobaUniversity of British Columbia
FundersFaculty of Medicine and Dentistry, University of AlbertaMedical Research CouncilHaukeland UniversitetssjukehusVetenskapsrådetAstellas PharmaEuropean Respiratory SocietyRijksuniversiteit GroningenInstitut National de la Santé et de la Recherche MédicaleUniversity of OxfordAgence Nationale de la RechercheWellcome TrustLudwig-Maximilians-Universität MünchenGlaxoSmithKlineDeutsche ForschungsgemeinschaftEuropean Academy of Allergy and Clinical ImmunologyEuropean CommissionUniversity of AlbertaUniversité Paris DiderotUniversiteit UtrechtUniversität BaselUniversität UlmUniversitair Medisch Centrum GroningenAstraZenecaAmerican Thoracic Society
KeywordsTobacco smokeIn uteroPublicsPolitical scienceEnvironmental healthMedicineBiologyGeneticsPregnancyLaw

Abstract

fetched live from OpenAlex

Juniper EF, Svensson K, Mork AC, Stahl E. Modification of the asthma

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0070.004
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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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

Citations51
Published2013
Admission routes2
Has abstractyes

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