Notice bibliographique
Résumé
This is the 2nd edition of a truly unique book. It is the only book that I am aware of that lists disease predispositions under breed, not vice versa. It is fairly easy in clinical practice to research specific disease conditions and find a list of breeds prone to that condition. It is virtually impossible to research a breed and find all disease predispositions that might affect them, until now… Indirectly, this book highlights the risks associated with selective breeding, as too often we see these predispositions increase with inbreeding and selection for extreme phenotypes that are considered desirable. It is intended to be used by veterinarians, breeders, and pet owners, although by the nature of the material, the authors acknowledge that some of the material may be too technical for the layperson. A “Breed Predisposition” is defined here as “an increased risk for a condition in a breed, which may or not be an inherited disease”. While attempting to gather such information for each breed, the authors also point out that there are limitations with current methods of recording diagnoses or case findings. Not all data from diseased animals may have universally been documented. On the other hand, they did not want to omit findings for “increased risk” in cases that would likely be denied a place in a peer-reviewed journal article. The result has been an astoundingly wide range of references; at least one for every condition for every breed listed. They include peer- and non-peer-reviewed journals, conference proceedings, and some classic textbooks. In this 2nd edition, the authors have tried to be stricter with which conditions are included as breed predispositions. They have succeeded in their attempt to include information on modes of inheritance, sex and age predispositions, how common the condition is in the breed population, and the risk of developing the disease in the general population. The organization of this book is straightforward and easy to use. Most (90%) of the text covers canine conditions, although the feline sections appear well-documented too. Listings are alphabetical by breed and then further by condition or disease. As mentioned earlier, no finding is given a place in this book without a reference of some form. At the back of the book there is a small but useful list for genetic test providers worldwide. “Breed Predispositions to Diseases in Cats and Dogs” is a remarkable achievement. It has been well-researched and made as complete as is possible. It deserves a place on every veterinarian’s shelf.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».