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Record W2140272042 · doi:10.5455/javar.v1i1p21-23

Radio-diagnosis of fecoliths and its non-surgical management in dogs

2014· article· en· W2140272042 on OpenAlexaboutno aff
Ariffullah Khan, Mohsin Ali Gazi, Suhani Bashir, DM Dumralia, Mahendra Sheshrao Bagate

Bibliographic record

VenueJournal of Advanced Veterinary and Animal Research · 2014
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiology

Abstract

fetched live from OpenAlex

Two cases with a history of cessation of feces for 2 weeks, depression, lethargy and anorexia in two different dogs; a Labrador male and a Doberman female, were presented. On physical examination, abdominal distension along with intense pain was observed. Blood samples were collected from the dogs for hematological and biochemical analyses. The examination revealed an increased percentage of packed cell volume (PCV). By radiological examination, radiopaque material was seen in the large intestinal tract. The condition was suggestive of fecolith. The cases were managed by means of non-surgical management. Through an 11-day long medicinal treatment, the dogs recovered uneventfully. Keywords: Case report, dog, fecolith, non-surgical management,

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.083
GPT teacher head0.423
Teacher spread0.340 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

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