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Record W2559323399

Cystotomy for Management of Cystolithiasis in a Bitch

2016· article· en· W2559323399 on OpenAlexaboutno aff
Anuj Synghal, Khalid Omer, Anju Synghal

Bibliographic record

VenueINTAS POLIVET · 2016
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsDysuriaMedicineUrinationUrinalysisAbdomenUrologySurgeryUrineInternal medicineUrinary system
DOInot available

Abstract

fetched live from OpenAlex

A nine year old Labrador crossbred bitch was presented with history of hematuria and dysuria. The patient was mildly dehydrated and dull. Palpation of ventral abdomen elicited discomfort. Observation at micturition revealed that blood was voided at the end of micturition. Hematological examination revealed thrombocytopenia, normal TLC and hemoglobin. Biochemical parameters were within the normal range. Urinalysis revealed decreased specific gravity, proteinuria, full field of RBCs, 35–40/hpf of pus cells and triple phosphate crystals. Lateral radiographic abdominal views revealed presence of big sized bladder calculi. The calculi were removed by cystotomy and sent for analysis which revealed 90% Magnesium Ammonium phosphate hexahydrate and 10% Carbonate apatite. The bitch recovered fully with no reoccurrence in next six months.

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.375
Teacher spread0.279 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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