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Record W2994165911

Management of Cystic Hyperplasia and Pyometra Complex-A Retrospective Study in 17 Female dogs

2019· article· en· W2994165911 on OpenAlexaboutno aff
Chhavi Gupta, Marion Simon, U. Lakshmikantan, M. Murugan, Rajah Arunachalam Ramprabhu

Bibliographic record

VenueINTAS POLIVET · 2019
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsPyometraMedicinePolydipsiaPolyuriaCervixGynecologyEndometriumUterusInternal medicineEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

A study was conducted in 5–16 years old seventeen female dogs (nine spitz, two West Highland white terrier, one labrador and five non descript) presented with loss of appetite, polydipsia, polyuria, vomition and enlarged abdomen. The presence of vaginal discharge was also observed in some female dogs. Biochemical, hematological, microbiological, urine, radiological and ultrasonographic examination confirmed diagnosis of open or closed cervix pyometra. Open cervix pyometra without systemic involvement was treated with progesterone and prostaglandins derivatives. Closed cervix pyometra with cystic endometrium hyperplasia was surgically managed.

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 score0.018
Threshold uncertainty score0.693

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)0.0010.000

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 head0.069
GPT teacher head0.350
Teacher spread0.281 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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