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Record W1017505764

Mortalitet hos Newfoundland

2010· article· no· W1017505764 on OpenAlexaboutno aff
Matilda Knutsson

Bibliographic record

Venuenot available
Typearticle
Languageno
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPurebredMedicineCause of deathAutopsyDilated cardiomyopathyDemographySignificant differenceDiseaseInternal medicineBreedHeart failureBiologyAnimal science
DOInot available

Abstract

fetched live from OpenAlex

Dilated cardiomyopathy (DCM) is the second most common heart disease in dogs. Since the disease is seen more frequently in certain breeds, among them Newfoundland dogs, a genetic factor is suspected. This study was partly undertaken to investigate whether there is a significant sex predilection regarding DCM. Moreover, the difference in mean age of death between male dogs and females with DCM was investigated, as well as males and females dying from DCM compared to dying from other reasons (i.e. without DCM). The most common causes of death in Swedish Newfoundland dogs were elucidated. This study was also undertaken as a part of a European genetic study, with the aim to identify Newfoundland dogs with and without DCM. Two hundred and fifty-four purebred Newfoundland dogs, among them 104 males and 150 females, had been blood sampled during approximately 20 years and information about them was collected retrospectively by means of autopsy reports and telephone interviews. Seventy-one cases of DCM were found. Males were overrepresented. No significant difference regarding the mean age of death between males and females dying from DCM was observed. Bitches dying from DCM were significantly younger than other bitches. No such difference was observed among the male dogs. Apart from DCM, the four most common causes of death among Newfoundland dogs in Sweden were joint- and skeletal related diseases, tumours, senescence and skin disorders.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.997

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)0.0140.004

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 head0.008
GPT teacher head0.267
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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