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Record W3169215921

Selegilina en el tratamiento del hiperadrenocorticismo hipofisiario en caninos.

2013· article· es· W3169215921 on OpenAlexaboutno aff
Javier Dlujnewsky

Bibliographic record

VenueRevista del Colegio de Médicos Veterinarios del Estado Lara · 2013
Typearticle
Languagees
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyLabrador RetrieverSurgery
DOInot available

Abstract

fetched live from OpenAlex

espanolSe describe un caso clinico en el que se utilizo para un Labrador Retriever de diez anos de edad, con diagnostico clinico y de laboratorio mediante test de supresion baja de dexametasona de hiperadrenocorticismo hipofisiario el medicamento Selegilina ®, se establecio tratamiento con mejoria de la sintomatologia asociada, valores hematologicos y de quimica sanguinea. EnglishA clinical case is described in which Selegiline® was used on a 10 years old Labrador retriever, with clinical and laboratory low-dose dexamethasone test consistent with Cushing syndrome (hypofisis hyperadrenocorticism) , treatment results in a increased palliation of associated sintomatology and improved ,hematology and serum chemistry values .

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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 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
Published2013
Admission routes1
Has abstractyes

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Same venueRevista del Colegio de Médicos Veterinarios del Estado LaraSame topicAdrenal Hormones and DisordersFrench-language works237,207