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Record W3082181185

A case study surgical resection of perianal tumorous mass in male labrador

2018· article· en· W3082181185 on OpenAlexaboutno aff
Jaan Mohammad Wani, Nasir Manzoor Wani, Faizan Javid, Afaq Amin Najar, Aiman Khursheed, A. K. Pandey, Sharad Kumar

Bibliographic record

VenueJournal of Pharmacognosy and Phytochemistry · 2018
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsAnusSurgical resectionMedicineResectionLabrador RetrieverPathologySurgery
DOInot available

Abstract

fetched live from OpenAlex

This tumor was found in 8 year old male Labrador dog. History depicted normal body vitals including temperature of 101.8 oC and pulse of 90/minute except profuse bleeding from that region. On clinical examination, a localised tumorous mass was found between the region of tail and anus with profuse bleeding. In order to differentiate it from canine transmissible veneral tumor (CTVT) the sample material for cytological diagnostics were taken with help of impression smears & cytological impression smears were prepared and stained with Wrights Giemsa for diagnostic purpose. Results were suggestive of presence of normal cellularity, with normal sized nucleus. The dog was operated and the tumorous mass was surgically removed. After surgical resection of the mass, the dog was kept on broad spectrum antibiotics, analgesics, multivitamins along with supportive fluid therapy.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.405
Teacher spread0.356 · 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
Published2018
Admission routes1
Has abstractyes

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Same venueJournal of Pharmacognosy and PhytochemistrySame topicVeterinary Oncology ResearchFrench-language works237,207