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Record W65537950

[Dilated cardiomyopathy (DCM) in dogs--pathological, clinical, diagnosis and genetic aspects].

2005· article· en· W65537950 on OpenAlexaboutno aff
C Broschk, O. Distl

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDilated cardiomyopathyInheritance (genetic algorithm)GeneticsBiologyDiseasePathologicalCardiomyopathyGeneMedicinePathologyInternal medicineHeart failure
DOInot available

Abstract

fetched live from OpenAlex

Dilated cardiomyopathy (DCM) is a heart disease which is often found in humans and animals. The age of onset of this progressive disease varies between 3 and 7 years of age. A juvenile form of DCM has been found in Portuguese Water Dogs and Doberman Pinscher Dogs. Some breeds such as Doberman pinscher, Newfoundland, Portuguese Water dog, Boxer, Great Dane, Cocker Spaniel and Irish Wolfhound exhibit a higher prevalence to DCM. There also seems to be a sex predisposition as male dogs are affected more often than female dogs and in Great Danes an X-linked recessive inheritance is likely. In Newfoundland and Boxer an autosomal dominant inheritance was found whereas an autosomal recessive inheritance was described in Portuguese Water Dogs. Atrial fibrillation as a cause or consequence of DCM is assumed for certain breeds. The causes of DCM are widely unknown in dogs. A genetic basis for this heart disease seems to exist. Apart from a few exceptions the mode of inheritance and the possible underlying gene mutations are not known for DCM in dogs. In humans mutations in several genes responsible for DCM have been identified. Comparative genetic analyses in dogs using genes causing DCM in men and a genome-wide scan with anonymus markers were not able to detect causative mutations or genomic regions harboring gene loci linked to DCM. The investigation of the genetic basis of canine DCM may lead to new insights into the pathogenesis of DCM and may result in new therapeutic approaches and breeding strategies.

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 score0.294
Threshold uncertainty score0.488

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 head0.042
GPT teacher head0.285
Teacher spread0.243 · 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

Citations18
Published2005
Admission routes1
Has abstractyes

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