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FACTORSASSOCIATED WITH OCCURRENCE OF HEPATIC DYSFUNCTION LINKEDTO HYPO-ALBUMINAEMIA IN DOGS - AN EPIDEMIOLOGICAL STUDIES

2023· article· en· W4380792410 on OpenAlexaboutno aff
Manshi, Chandan Lodh

Bibliographic record

VenueIndian Journal of Canine Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyHepatic dysfunctionMedicineInternal medicineGastroenterologyPhysiology

Abstract

fetched live from OpenAlex

The study was conducted at the Veterinary Clinical Complex, WBUAFSin Belgachia, where a total of 67 dogs were examined, with 18 of them being diagnosed for hepatic dysfunction linked to hypoalbuminemia.The study included pure breed and mongrel dogs of all ages, ranging from one to eight years old of both genders where 12 dogs were males and 6 were females.Hepatic dysfunction linked with hypoalbuminemia was foundto bepredominant in the age group of 3-7 years (44.5%) and Labrador retriever (27.8%) were the most affected breed.Gender wise occurrence revealed that out of 18 dogs, 12 (66.6%)were males and 6 (33.7%) were females indicating that males were more prone to hepatic disorder related with hypoalbuminemia compared to females.

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)0.005
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 score0.004
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.069
GPT teacher head0.381
Teacher spread0.312 · 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
Published2023
Admission routes1
Has abstractyes

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