Emollients for the prevention of atopic dermatitis
Bibliographic record
Abstract
Article Type: News and Views: Groundbreaking Discoveries in ImmunologyTitle: Emollients for the prevention of atopic dermatitisAuthors: Akash Kothari1(https://orcid.org/0000-0003-1980-161X), Arielle Locke2,Thomas Eiwegger1,3,4(https://orcid.org/0000-0002-2914-7829)1Translational Medicine Program, Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada2Department of Medicine, National University of Ireland, Galway, Ireland3Division of Immunology and Allergy, Food Allergy and Anaphylaxis Program, The Department of Pediatrics, Hospital for Sick Children, Toronto, Ontario, Canada4Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Ontario, CanadaCorrespondence to: Thomas Eiwegger, MD, Division of Immunology and Allergy, Food Allergy and Anaphylaxis Program, The Department of Paediatrics, Hospital for Sick Children, 555 University Ave, Toronto, Canada, E-mail: thomas.eiwegger@sickkids.ca, Tel.: +1 416-813-7654 ext. 1862Conflicts of Interest: AK and AL have nothing to disclose. TE reports to act as local PI for company sponsored trials by DBV and sub-investigator for Regeneron, holds grants from Innovation Fund Denmark, CIHR outside the submitted work. He is Co-Investigator or scientific lead in three investigator initiated oral immunotherapy trials supported by the Food Allergy and Anaphylaxis Program SickKids and serves as associate editor for Allergy. He/his lab received unconditional/in-kind contributions from Macro Array Diagnostics and an unrestricted grant from ALK. He holds advisory board roles for ALK.Financial support: This work was supported by The Hospital for Sick Children, The Food Allergy and Anaphylaxis Program at The Hospital for Sick Children, and The Dr Lorus J And Dr Margery J Milne Scholarship from Victoria University at the University of Toronto.Statement of Author Contribution: All authors critically reviewed the original articles (references 6 and 7) and wrote the News & Views: Groundbreaking discoveries in Immunology article. All authors contributed, revised, edited, and approved the final version of the manuscript as submitted and agreed to be accountable for all aspects of the work.Keywords: emollient, atopic eczema, infancyAbbreviations : food allergy, FA; filaggrin gene, FLG; atopic dermatitis, AD; transepidermal water loss, TEWL; Barrier Enhancement for Eczema Prevention, BEEP; Preventing Atopic Dermatitis and Allergies, PreventADALL
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".