Notch4, uncovering an immunomodulator in allergic asthma
Bibliographic record
Abstract
Title: Notch4, uncovering an immunomodulator in allergic asthmaAuthors: Beatriz Moyaa, Manali Mukherjeeb and Parameswaran Nairba. Department of Allergy, Hospital Universitario 12 de Octubre, Madrid, Spainb. Division of Respirology, Department of Medicine, McMaster University, Hamilton & Firestone Institute for Respiratory Health, St Joseph’s Healthcare, Hamilton, ON, CanadaCorrespondence to : Beatriz Moya. Allergy Department. Hospital Universitario 12 de Octubre, Madrid, SpainEmail:drbeatrizmoya@gmail.comAcknowledgements : Dr. Mukherjee is supported by investigator award from Canadian Institutes of Health Research and Canadian Allergy, Asthma, and Immunology Foundation. She has received honorarium from AZ, GSK and her university has received grants from Methapharm Speciality Pharmaceuticals. Dr. Nair is supported by the Frederick E. Hargreave Teva Innovation Chair in Airway Diseases. He has received honoraria from AZ, Sanofi, Teva, Merck, Novartis and Equillium and his university has received research grants from AZ, Teva, Sanofi, Novartis, BI and Methapharm. The authors recognize Dr. Anna Globinska for graphical abstract design and Dr. Rodrigo Jiménez-Saiz for critical review of the manuscript.Keywords: Allergic asthma; Airway inflammation; Th2 cell; Th17 cell; Treg cell; Notch4 receptorAbbreviations: Th, T helper; UFPs, pollutant ultrafine particles; AMs, alveolar macrophages; Treg cells, regulatory T cells; ILC2s, type 2 innate lymphoid cells; GDF15, cytokine growth and differentiation factor 15; IL, interleukin; IL-6R, interleukin-6 receptor; IL-4R, interleukin-4 receptorWord count: 918/1000
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 teacher head, 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".