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Occurrence of canine transmissible venereal tumour

2023· article· en· W4385413653 on OpenAlexaboutno aff
Aja Taj Nazer, B. Bibin Becha, C. Jayakumar, M. P. Unnikrishnan, S.S. Devi

Bibliographic record

VenueJournal of Veterinary and Animal Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsBreedMedicineVeterinary medicineSex organLabrador RetrieverBiologySurgeryAnimal science

Abstract

fetched live from OpenAlex

Canine transmissible venereal tumour (CTVT) is the most common neoplasm of the genital sites transmitted through allogenic transplantation of tumour cells during coitus or at extragenital sites like oral or nasal mucosa by licking, scratching or sniffing affected area. In this study the overall occurrence of CTVT and its occurrence was analysed based on breed, age, gender, parity, season, reproductive status and breeding history, collected from retrospective data of clinical records maintained at University Veterinary Hospitals. The overall occurrence of CTVT was 0.15 per cent among total presented cases, 0.88 per cent among total reproductive disorders, 21.42 per cent among total canine tumour cases and 4.74 per cent among cases with vaginal bleeding. Higher occurrence was recorded in female dogs (88.59%), dogs aged 2-5 years (73.91%), intact females (88.04%), pluriparous dogs (41.10%) and during south-west monsoon season (32.07%). Breed wise occurrence was higher in Labrador Retriever dogs (41.30%) followed by non-descript dogs (22.28%). Occurrence was higher in dogs with history of mating with stud dogs (81.60%) when compared to stray dogs (18.40%).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.156
GPT teacher head0.426
Teacher spread0.271 · 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 designBench or experimental
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

Citations3
Published2023
Admission routes1
Has abstractyes

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