Bibliographic record
Abstract
Recent critical advances in the field of immunotoxicology have led to incredible contributions to basic science, including crucial improvements in human risk assessment. In Immunotoxicity Testing: Methods and Protocols, expert researchers explore these changes, providing the reader with current, lab-ready procedures, along with the corresponding background information that is necessary to identify effective testing approaches for chemicals and drugs. Among the first volumes to meld consideration of immunotoxicity testing strategies with a comprehensive presentation of detailed laboratory protocols, chapters include a description of the evolution of immunotoxicity testing, a look at the importance of immunotoxicity testing for health risk reduction, and ideas concerning the future of the field. Composed in the highly successful Methods in Molecular Biology(tm) series format, most chapters contain a brief introduction, step-by-step methods, a list of necessary materials, and a Notes section which shares tips from the experts on troubleshooting and avoiding known pitfalls. Comprehensive and innovative, Immunotoxicity Testing: Methods and Protocols is a critical, one-stop reference resource for the most important and commonly used laboratory protocols in immunotoxicology
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".