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Record W7028627365

Genome-wide association study and meta-analysis of peanut allergy with previously published and unpublished food allergy data identifies novel loci and confirms association with HLA-DQB1, which is independent of asthma

2018· dissertation· en· W7028627365 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2018
Typedissertation
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsMcGill University
FundersCommon FundNational Institute of Neurological Disorders and StrokeNational Cancer InstituteNIH Office of the DirectorNational Human Genome Research InstituteNational Institute on Drug AbuseChildren’s Hospital of Wisconsin Research InstituteNational Heart, Lung, and Blood InstituteCanadian Allergy, Asthma and Immunology FoundationStichting voor de Technische WetenschappenNational Health and Medical Research CouncilCanadian Institutes of Health ResearchUniversitair Medisch Centrum GroningenUniversity of MelbourneNederlandse Organisatie voor Wetenschappelijk OnderzoekCanadian Dermatology FoundationRheinische Friedrich-Wilhelms-Universität BonnMcGill University Health CentreNational Institutes of HealthRijksuniversiteit GroningenMurdoch Children's Research InstituteMcGill UniversityNational Institute of Mental HealthChildren's Hospital FoundationMedical Research CouncilHudson Institute of Medical ResearchMichael Smith Health Research BCHealthwayU.S. Department of DefenseNutricia Research Foundation
KeywordsAsthmaFood allergyAssociation (psychology)Peanut allergyAllergyFood allergens
DOInot available

Abstract

fetched live from OpenAlex

Clarke, Ann (Supervisor1)

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.037
GPT teacher head0.280
Teacher spread0.243 · 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 designMeta-analysis
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
Published2018
Admission routes2
Has abstractyes

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