Corrigendum: The future of cow's milk allergy – milk ladders in IgE-mediated food allergy
Bibliographic record
Abstract
Corrigendum: The future of cow’s milk allergy–milk ladders in IgE-mediated food allergy* Correspondence: carina.venter@childrenscolorado.orgKeywords: same as original articleCorrigendum on: The future of cow’s milk allergy–milk ladders in IgE-mediated food allergy. A Hicks, D Fleischer, C Venter - Frontiers in Nutrition, 2024Error in Figure/TableIn the published article, there was an error in Table 2 as published. The starting and ending dose for the MAP and iMAP ladders were transposed. The starting dose of the MAP ladder is 95 mg and the starting dose of the iMAP ladder is 35 mg. The corrected Table 2 and its caption “Comparison of currently available milk ladders” appear below. Table 2. Comparison of currently available milk ladders# Steps # Foods/ step Recipes included Dose escalation Starting/Ending dose Measured Protein Content Nutritional soundness Culturally appropriate Other CommentsBSACI (36)4 multiple No Starts small but quickly escalated CM protein Not listed No X For British population Foods in a single step are dissimilar in allergenicity MAP (27)12 1 Yes Moderate jump in steps (some steps subdivided into multiple steps) 95 mg/7.2 g No X UK diet specific Complex recipesiMAP (24)6 1 Yes Large jumps in steps (some steps subdivided into multiple steps) 35 mg/6.9 g No Yes International Simple recipesMediterranean milk ladder (34)7 1 Yes Moderate jump in steps 70 mg/3.2 g Yes – total protein, casein and beta-lactoglobulin X Mediterranean Calculated and measured CM protein not always similarIndian Milk Ladder (33)6 2-4 Yes Moderate jump in steps 50 mg/8.68 g Yes – total protein High in sugar and fat – though recipes were adjusted to reduce sugar & fat content as able Culturally relevant to India Calculated and measured CM protein not always similarCanadian Milk Ladder (35)4 2-4 No Discrepancies in protein content in single steps Not listed No X Canadian foods SimpleGerman Milk Ladder (41)6 1-3 Yes Moderate jump in steps (each step is subdivided into multiple steps) 8 mg/7 g No X (some recipes adapted to contain less sugar) German Each step with progressive serving increases of the same foodSpanish Milk Ladder (42)4 1-6 Yes (not published currently) Large jumps in some steps (each step is subdivided into multiple steps) 95 mg/6.2 g No Yes Spanish The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.095 | 0.053 |
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".