Bibliographic record
Abstract
The two immunogenic preparations, ovalbumin (OA) and the nondialysable constituents of the aqueous extract of ragweed pollen (RAG), were conjugated with polyethylene glycols of molecular weights of 6,000 and 20,000 (PEG6 and PEG20) with the aid of cyanuric chloride. The i.v. administration of OA-PEG6 or OA-PEG20 into normal mice or into mice sensitized to a state of immediate hypersensitivity to dinitrophenylated OA (DNP3-OA) resulted, respectively, in the suppression of the primary or secondary IgE responses to DNP and OA. Similarly, the administration of RAG-PEG6 abrogated the primary as well as the ongoing anti-RAG reaginic responses in mice sensitized to RAG. The unresponsiveness of spleen cells from animals which had received a tolerogenic dose of OA-PEG6 was also maintained after transfer into X-irradiated (550 rad) mice. The suppressive effects of the tolerogenic PEG conjugates of OA and RAG were shown to be immunologically specific. It is, therefore, suggested that PEG-modified allergens may prove useful for the abrogation of the IgE response to a variety of allergens responsible for conditions of common hypersensitivity in man.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".