Blood Concentrations of Th2-Type Immunoglobulins are Selectively Increased in Weanling Mice Subjected to Acute Malnutrition
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Male and female C57BL/6J mice, initially 19 days old, consumed a complete purified diet either ad libitum (age-matched control) or in restricted daily quantities (energy deficiency), or they consumed a purified isocaloric low-protein diet ad libitum (protein and energy deficit). In a 14-day experimental period, malnourished animals lost approximately 1.5% of their initial body weight daily. Zero-time controls, 19 days old, were also included in the study. Serum levels of Th2-type (IgG1 and IgE) and Th1-type (IgG2a and IgG3) immunoglobulins were quantified by enzyme-linked immunosorbent assay, and total IgG concentration was also assessed. Both malnourished groups exhibited high serum concentrations of IgG1 and IgE relative to the age-matched control group, whereas levels of the Th1-type immunoglobulins were unaffected. Total IgG concentration in the malnourished groups reflected the usual finding in humans (i.e., no effect or elevated). The results are consistent with the proposition of Th2-polarized immune competence in acute weanling deficiencies of energy, protein, or both.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".