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Record W4312379916 · doi:10.29005/ijcp.2020.12.1.03-05

RETROSPECTIVE ANALYSIS OF CANINE TRANSMISSIBLE VENEREAL TUMOUR CASES IN TIRUNELVELI REGION OF TAMIL NADU

2020· article· en· W4312379916 on OpenAlexaboutno aff
Chhavi Gupta, Satheshkumar, Arjun . Ganesan, V T Kumar, R. Ramprabhu

Bibliographic record

VenueIndian Journal of Canine Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsTamilVeterinary medicineMedicineLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

A retrospective analysis was conducted to study the case occurrence of canine transmissible venereal tumours in Tirunelveli region of Tamilnadu during January 2015 to December 2017. A total of 151 cases of transmissible venereal tumour were reviewed. The incidence was more in female (81.5%) than male dogs (18.5%) and in animals in the age group of 2-6 years (80.1%). The breed-wise analysis revealed that the incidence was more common in Chippiparai dogs among the native breeds and Labrador and Spitz dogs among the exotic breeds. The incidence rate in Non-descript dogs (18.5 per cent). Higher incidence of TVT in native breeds of this region could be attributed to habitually yard-escaping nature of due to their guarding and hunting behavior. Chemotherapy with vincristine is considered to be the most effective therapy for canine TVT.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.375
Teacher spread0.313 · 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
Published2020
Admission routes1
Has abstractyes

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