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Record W7006510236

Tricuspid valve dysplasia in dogs

2018· article· en· W7006510236 on OpenAlexaboutno aff

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DiafiltrationHyporeflexiaFusible alloyHemopericardiumProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

A general overview of tricuspid valve dysplasia in dogs is presented in this review. This congenital disease has been described in numerous large dog breeds but especially the Labrador retriever is predisposed. The condition is relatively uncommon, with a prevalence of approximately seven percent of all congenital heart diseases in dogs. The asymptomatic phase may last for several years and depends on the severity of the valve malformation. In the clinical phase, exercise intolerance, fatigue, anorexia, cardiac cachexia, dyspnea and signs of right-sided congestive heart failure can be present. Echocardiography including Doppler imaging is warranted to confirm the diagnosis. Curative treatment involves surgical valve replacement but is technically challenging and still in its experimental phase in dogs. As such, treatment in dogs involves the administration of supportive medication once the dogs develop symptoms of congestive heart failure and consists of diuretics, ace-inhibitors and positive inotropic drugs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0150.040
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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