Plant‐based enveloped Ara h 2 bioparticles display exceptional hypo‐allergenicity
Bibliographic record
Abstract
Funding Information: This reported studies were embedded in the Siallergen consortium, which was supported by Health Holland. The work of the authors has further been supported by Angany Inc. (Quebec, Canada), the Austrian Science Funds (FWF Project P32189), the University of Salzburg priority program “Allergy-Cancer-BioNano Research Centre”, and a grant from the National Institute of Allergy and Infectious Diseases of the National Institute of Health, Bethesda, MD, USA (RO1AI165866 (SCD)). Funding Information: This reported studies were embedded in the Siallergen consortium, which was supported by Health Holland. The work of the authors has further been supported by Angany Inc. (Quebec, Canada), the Austrian Science Funds (FWF Project P32189), the University of Salzburg priority program “Allergy‐Cancer‐BioNano Research Centre”, and a grant from the National Institute of Allergy and Infectious Diseases of the National Institute of Health, Bethesda, MD, USA (RO1AI165866 (SCD)). Funding Information: Charlotte Castenmiller, Lorenz Aglas, and Maria Stigler received contract research funding and study material from Angany Inc. Louis‐P Vézina is a cofounder board member, and CEO of Angany Inc. Réjean Desgagnés, Caroline Martel, Lydia Auger, Joanie Roberge, Bertrand Morel, Virginie Stordeur, Lucie Mirande, Guy Tropper, and Véronique Gomord are employees of Angany Inc. Ronald van Ree received contract research funding and research material form Angany Inc. and besides received consulting fees and/or speaker's fees from Angany Inc. HAL Allergy BV, Citeq BV, ThermoFisher Scientific, Reacta Healthcare Ltd., Mission MightyMe, and AB Enzymes, and has stock options from Angany.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".