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Record W3001896153 · doi:10.29244/avl.3.4.67-68

Limb amputation for surgical management of grade two mast cell tumor on digit of labrador retriever

2019· article· en· W3001896153 on OpenAlexaboutno aff
Tri Ayu Kristianty, Siti Zaenab, Osye Syanita Alamsari, Sitaria Fransiska Siallagan, Sukmasari Arifah, Bagus Satrio Budiharjo

Bibliographic record

VenueARSHI Veterinary Letters · 2019
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMast cellLabrador RetrieverAmputationNumerical digitBiopsyPathologyLimb amputationMetastasisLymph nodeSurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

The Labrador retriever came to My vets animal clinic Bumi Serpong Damai with mass on digit for a month. Punch biopsy procedure was performed to differentiate the type of the cells involved. The histological report diagnosed mast cell tumor grade 2. Mast cell tumors are one of the most common skin tumors in dogs, its account for approximately 20-25% of skin tumors in dogs. Mast cell tumors can be classified as grade 1, 2 and 3 by histological assesment. Hematology, blood chemistry, chest radiography and abdomen ultrasound were taken to evaluate metastasis condition of the tumor and the results were normal. Mast cell tumors are corrected by surgical, and post-operative survival time is related to the degree of differentiation. Limb amputation was taken as an option to prevent the spread of tumor to the nearest lymph node, namely the axillary node.

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.045
GPT teacher head0.345
Teacher spread0.300 · 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
Published2019
Admission routes1
Has abstractyes

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