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PARTIAL ROSTRAL GLOSSECTOMY FOR ALVEOLAR RHABDOMYOSARCOMA OF TONGUE AND ITS LARYNGEAL METASTASIS IN A DOG

2023· article· en· W4392086382 on OpenAlexaboutno aff
Laiju M. Philip, Syam K. Venugopal, Jhon Martin K.D.

Bibliographic record

VenueIndian Journal of Canine Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTongueRhabdomyosarcomaGlossectomyAlveolar rhabdomyosarcomaMetastasisPathologyInternal medicineCancerSarcoma

Abstract

fetched live from OpenAlex

A rare case lingual neoplasm was diagnosed in a four year old female Labrador dog presented with difficulty in prehension and dysphagia and irregular ulcerated hard mass of 4cm X 2.7 cm at the rostral aspect of the tongue.Partial glossectomy was performed under general anaesthesia.Alveolar rhabdomyosarcoma was diagnosed morphologically on the basis of histopathological report.Two months after surgical treatment, the dog was presented with unexpected complications like respiratory distress and general weakness.Based on clinical, radiological and endoscopic examination, laryngeal metastasis of rhabdomyosarcoma was concluded.The histopathological report, diagnosis, surgical treatment and adjuvant chemotherapy are discussed in detail.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.056
GPT teacher head0.415
Teacher spread0.359 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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