Bibliographic record
Abstract
The 5th edition of Pathologic Basis of Veterinary Disease is an excellent reference for veterinary students and veterinarians who are interested in reviewing the pathophysiology of the diseases observed in practice. This book provides in-depth coverage in two sections, general pathology and pathophysiology of organ systems, in an exceptionally well-organized resource. The first section covers the normal cell, and the responses of cells, tissues, and organs to injury and infection, as well as the most current methods of studying disease mechanisms, genesis, and progression. There are chapters that review immunology and diseases of immunity, cellular and molecular biology, as well as neoplasia and tumor biology. The second section covers the alimentary system, including the peritoneum, omentum, mesentery, and peritoneal cavity, the hepatobiliary system and exocrine pancreas, the respiratory system, mediastinum and pleura, the cardiovascular and lymphatic systems, the urinary system, the endocrine system, the bone marrow, and blood cells, the nervous system, skeletal muscle, bones, joints, tendons, and ligaments, the integument, the female and male reproductive systems, the mammary gland, the ear, and the eye. Additions to this edition include not only the genetic basis of disease, but diseases of the ear, ligaments and tendons, and a new chapter on the mechanisms of microbial infections. An enhanced website is included with all of the books’ images, plus additional images and schematic illustrations that supplement the disease processes discussed in the book. In addition to guidelines for performing a complete, systematic necropsy, and appropriate sample acquisition for selected organ systems, there is a glossary of terms, and methods for gross specimen photography and photomicrography. A very valuable aspect of the website is the availability of all of the book’s selected readings, which are also linked to original abstracts on PubMed. The printed book directs the reader to the website when there is additional information available. The book is extremely well-written, and very easy and enjoyable to read. The authors include interesting historical information and basic clinical information that makes the book both interesting and clinically relevant. The explanations of disease mechanisms are clear and up-to-date. There are numerous and excellent images and photomicrographs, in addition to full-color illustrations, tables, flowcharts, and diagrams that are extremely well presented and help simplify difficult concepts. Coverage of World Organization for Animal Health (OIE) reportable diseases is available and adds very important and pertinent information on microorganisms that have catastrophic impact on livestock health and production. While reading through the list of contributing authors, I was very happy and proud to see that many of the authors are Canadian and experts in their field. Although the website is a wonderful resource, the only “negative” comment I have regarding this book is that it was frustrating and inconvenient at times to have to put the text aside in order to turn on the computer to obtain further information. Pathologic Basis of Veterinary Disease is a wonderful tool for veterinary students; I wish I had had this reference while in vet school! There is no question that I will continue to refer to this book for my personal use as a clinician, but I will also use it, particularly the beautiful illustrations and schematics, for teaching undergraduate and graduate students.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.087 | 0.037 |
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".