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Record W7066658093

Inherited and breed standard related defects in purebred dogs; the Boxer, English bulldog, Great Dane and Newfoundland dog

2014· dissertation· en· W7066658093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2014
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPurebredPopulationDiseaseBreedChristian ministryEpidemiology
DOInot available

Abstract

fetched live from OpenAlex

In the Netherlands, there are approximately 300 different dog breeds and purebred dogs are becoming more popular. The physical appearance, which is recorded in the breed standard, can however be connected with some negative features. Purebred dogs can be more susceptible for diseases. These diseases can be directly related to the physical appearance, or it can be a genetic condition which is found in the breed. It is impossible to create a disease free dog breed, but it should be a priority to try to eliminate the diseases found in the breed which are deleterious for the dog’s welfare. The goal of this study is to investigate the diseases found in four popular dog breeds in the Netherlands: the Boxer, English Bulldog, Great Dane and Newfoundland dog. The research is commissioned by the LICG (Landelijk Informatie Centrum Gezelschapsdieren) and the Ministry of Economic affairs.\nThe analysis consists of two parts, a scientific literature study and study of the University Clinic for Companion Animals (UKG) database.\nEach of the studied breeds have many predisposed diseases described in scientific literature, both related and non-related to the conformation.\nThe UKG analysis revealed which organ systems were most often associated with disease compared to crossbreeds. It also indicated which diseases were diagnosed in those organ systems. The analysis revealed overrepresented disciplines for every breed, except the Great Dane.\nImportant diseases of Boxers in the Netherlands are subvalvular aortic stenosis, chronic kidney disease (CKD), cystitis, anterior cruciate ligament rupture, seasonal follicular dysplasia, lymphoma and mastocytoma.\nThe most important disorders for the English Bulldog population in the Netherlands are Brachycephalic airway obstruction syndrome (BAOS), entropion, prolapse of the nictitans gland, dystocia and pododermatitis.\nImportant diseases for the Great Dane population in the Netherlands are: deafness (congenital), gastric torsion, dilated cardiomyopathy (DCM), and osteosarcoma.\nThe most important diseases for the Newfoundland dog are subvalvular aortic stenosis, dilated cardiomyopathy (DCM) and hip dysplasia.\nThe results of the analysis will form the qualitative basis for the purebred dog guide of the LICG, which will be combined with quantitative data of the Dutch dog population gathered from primary veterinary practices in a later stadium. The information can help breeders form a health policy for the breed and it can inform consumers on choosing a breed when buying a purebred dog.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.798
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.160
Teacher spread0.151 · 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