NEW: Haschek and Rousseaux’s Handbook of Toxicologic Pathology, Volume 1: Principles and Practice of Toxicologic Pathology, 4th Edition - 2021
Bibliographic record
Abstract
Toxicologic Pathology, edited by Wanda Haschek, Colin Rousseaux, Matthew Wallig, and Brad Bolon is extensively updated to continue its comprehensive and timely coverage.Due to unrelenting explosion of information in this field requiring new and updated chapters, this has required expansion to 4 volumes which are being published separately.Volume 1, "Principles and the Practice of Toxicologic Pathology," has just been published by Elsevier and is now available as hardcover (ISBN: 9780128210444) and ebook (ISBN: 9780128218297).It is discussed in more detail below.Volume 2, currently in press, encompasses "Toxicologic Pathology in Safety Assessment" and "Environmental Toxicologic Pathology."These two sections cover the application of toxicologic pathology in developing specific product classes, principles of data interpretation for safety assessment, and toxicologic pathology of major classes of environmental toxicants.Volumes 3 and 4, currently in preparation, provide deep and broad treatment of "Target Organ Toxicity," emphasizing the comparative and correlative aspects of normal biology and toxicant-induced dysfunction, principal methods for toxicologic pathology evaluation, and major mechanisms of toxicity.Volume 1: "Principles and Practice of Toxicologic Pathology" is a key reference that examines the integration of structure and functional changes in tissues associated with the response to pharmaceuticals, chemicals, and biologics.This volume, ably guided by Associate Editors Stacey Fossey and John Vahle and Illustrations Editor Beth Mahler, covers the practice of toxicologic pathology in four sections: Principles of Toxicologic Pathology, Methods in Toxicologic Pathology, Animal and Alternative Models in Toxicologic Research (new section), and the Practice of Toxicologic Pathology.Completely revised with a number of new chapters, Volume 1 of the Handbook of Toxicologic Pathology is an essential part of the authoritative reference on toxicologic pathology for pathologists, toxicologists, research scientists, health professionals and regulators studying and making decisions on drugs, biologics, medical devices, and other chemicals, including agrochemicals and environmental contaminants.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.042 | 0.046 |
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".