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Record W4323531690 · doi:10.1111/all.15701

An alternative path to oral tolerance

2023· article· en· W4323531690 on OpenAlexafffund
Carmen Li, Ekaterina Kabak, Thomas Eiwegger

Bibliographic record

VenueAllergy · 2023
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersSickkids Research InstituteCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsOral immunotherapyMedicineAnaphylaxisFood allergyFamily medicineAllergyMedical physicsImmunology

Abstract

fetched live from OpenAlex

CHL and EK have nothing to disclose. TE reports to act as local PI for company sponsored trials by DBV Therapeutics, Greer Stallergens, and sub-investigator for Regeneron and ALK-Abelló. He is Co-Investigator or scientific lead in three investigator-initiated oral immunotherapy trials supported by the SickKids Food Allergy and Anaphylaxis Program and serves as an associate editor for Allergy. He/his laboratory received unconditional/in-kind contributions from Macro Array Diagnostics and an unrestricted grant from ALK-Abelló. He holds advisory board roles for ALK-Abelló, VAMED, Nutricia/Danone, and Aimmune. TE reports lecture fees from Novartis, ThermoFisher, Nutricia/Danone, Aimmune, and ALK-Abelló.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.038
GPT teacher head0.351
Teacher spread0.313 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2023
Admission routes2
Has abstractyes

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