Bibliographic record
Abstract
Chemical immunosuppression developed at the beginning of clinical transplantation remains the basis of immunosuppressive protocols used today. Clinical trials of new agents focus on the incremental improvement in one of four areas of immunotherapy: induction, basic maintenance, adjuvant and steroid therapy. Induction immunotherapy developments include the use of humanized antibodies, specific targets (basiliximab, daclizumab) and lymphocyte depletion (anti-thymocyte globulin, campath-1H). Promising results from pilot trials allow for subsequent low dose maintenance monotherapy. New inhibitors of calcineurin isoforms (ISATx247) may disassociate the anti-rejection effect from the toxicity of conventional calcineurin inhibitors. Revived investigation of older anti-proliferative or anti-metabolite drugs (rapamycin, mycophenolic acid, leflunomide) show promise in preventing B-cell responses and reducing chronic rejection but development of derivatives (everolimus, mycophenolate mofetil, ERL 080, MNA 279, MNA 715) may have a stronger commercial than experimental basis. Trials of steroid immunotherapy have focused on steroid elimination but trial of newer locally active steroids may be beneficial.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".