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Record W2608532012 · doi:10.15654/tpk-160255

Atypisches Cushing-Syndrom bei einem Hund

2017· article· de· W2608532012 on OpenAlexaboutno aff

Bibliographic record

VenueTierärztliche Praxis Ausgabe K Kleintiere / Heimtiere · 2017
Typearticle
Languagede
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseBasal (medicine)Dexamethasone suppression testHormoneSigns and symptomsDexamethasoneDiagnostic test

Abstract

fetched live from OpenAlex

In a 12-year-old male Labrador Retriever, presented due to other disease symptoms, clinical signs of hyperadrenocorticism (polyuria, polydipsia, abdominal distention, muscle atrophy) were an incidental finding. Abnormal laboratory results and sonographic findings of the adrenal glands, but negative low-dose dexamethasone suppression tests with low basal cortisol concentrations, a negative andrenocorticotropic hormone (ACTH)-stimulation test and exclusion of iatrogenic hyperadrenocorticism, suggested an atypical hyperadrenocorticism (AHAC). Results of further examinations, particularly stimulation of progesterone production by ACTH (0 h value: 0.21 ng/ml; 1 h value: 4.9 ng/ml) and good response to therapy with trilostane, supported this diagnosis. However, it has to be critically considered, whether and to what extent additionally present diseases (arthroses, testicular tumour) played a role regarding the symptoms and laboratory results in this dog. This case illustrates the difficulties with the diagnosis of AHAC.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.344
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2017
Admission routes1
Has abstractyes

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