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Record W4399820374 · doi:10.1111/cea.14522

<scp>COFAITH</scp> and <scp>COMFA</scp>: A Collective Roadmap for Past and Future Food Allergy Clinical Trials and Observational Research on Interventions

2024· article· en· W4399820374 on OpenAlexaffabout
Jennifer L. P. Protudjer, Daniel Munblit, Christian Apfelbacher, Mary Jane Marchisotto, Emma E. Cook, India Capper, Pablo Rodríguez del Río, Pasquale Comberiati

Bibliographic record

VenueClinical & Experimental Allergy · 2024
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsGeorge & Fay Yee Centre for Healthcare InnovationUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsObservational studyPsychological interventionFood allergyMedicineAllergyImmunologyInternal medicineNursing

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.164
metaresearch head score (Gemma)0.314
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.164
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1640.314
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0050.007
Science and technology studies0.0020.004
Scholarly communication0.0120.013
Open science0.0050.014
Research integrity0.0120.014
Insufficient payload (model declined to judge)0.0760.023

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 head0.458
GPT teacher head0.557
Teacher spread0.099 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes2
Has abstractyes

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