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Record W51820138

Color Atlas of Diseases and Disorders of Cattle, 3rd edition

2014· article· en· W51820138 on OpenAlexaboutno aff
Cathy Patterson

Bibliographic record

VenuePubMed Central · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

The third edition of this book is a wonderful visual romp through diseases and disorders of cattle throughout the world, and would be a useful addition to any bovine practitioner’s library. The book is organized into 13 chapters by body systems (with the exception of Congenital and Neonatal Disorders that start the book, and Infectious Diseases and Toxicological Disorders that end it). This makes for a very organized flow of information. Each chapter is divided into specifically grouped diseases, but each also has unique divisions. For example, Ocular Disorders are grouped into congenital, acquired and neoplastic conditions, while Alimentary Disorders are grouped anatomically. Most of the chapters have infectious and non-infectious divisions, whereas the Infectious Diseases chapter is subdivided into viral, bacterial, tick-borne and miscellaneous components. It may sound confusing, but it is actually very logical as one reads through the book. There is an exceptionally detailed index indicating the page of the pictures as well as the text, and also a page for the clarification of acronyms. There are 848 color photographs; concise written overviews with at least one, to as many as four, photos that comprise each named condition. There is about a quarter of a page of script per disease, which is broken into 4 subheadings: definition, clinical features, differential diagnosis, and management; the text is impressively succinct. The differential diagnosis sections are comprised of a list of conditions with reference to appropriate figures found elsewhere in the book. The management sections are brief, yet relatively complete, synopses of treatment. As stated in the preface, the aim is not to provide in-depth discussion on treatment, but to provide the basic premise. There is no mention of specific drug therapy, but types of drugs, e.g., NSAIDs, antibiotics, anti-parasitics, etc., are suggested where necessary, and there are tips on how to avoid the problem, such as a feed or housing change, vaccination, surgery, etc. The book’s panoply of content is remarkably complete and covers the most common of diseases to the relatively obscure. There is even a small section on dystocia, which, practically speaking, is fairly useless, but in the essence of completeness, does round out the chapter titled Urinogenital Diseases. The chapter on Locomotor Disorders is especially thorough. There are 22 pages dedicated to the lower limb and digit with numerous high quality photos of hooves showing a myriad of conditions. Each photo is well-described and cross-referenced to other pictures, if indicated. It is interesting that there are 30 named conditions of the bovine foot — definitely the most detailed chapter in the book. While there is an obvious dairy cow bent, the common causes of beef cow lameness are well-covered. The second part of this chapter is on the upper limb and spine. This can be a particularly frustrating area of bovine medicine as there are many causes of downer/crippled cows that are difficult to differentiate. The chapter covers many disorders, and the excellent photos include radiographs and postmortem specimens; some of the photos exhibit pathognomonic presentations — always useful to show when communicating with producers. In general, I think this book is a wonderful addition to any veterinary library. It is attractively laid out and the cross-referencing is excellent. The atlas will have international appeal due to the attention it affords to tropical diseases. Many of these are names that just linger as vague memories of veterinary school for the average Canadian bovine practitioner, so it is worthwhile to be reminded that these serious diseases are still present in many parts of the world. I would recommend this book to anybody involved in cattle production. Moderately priced, it is suited to students and veterinarians as a quick and easy reference in everyday practice.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.219
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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