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Record W1961524826 · doi:10.5818/1529-9651-25.1.16

Malignant Mixed Chromatophoroma with Cutaneous, Pulmonary, and Testicular Metastases in a Veiled Chameleon (Chamaeleo calyptratus)

2015· article· en· W1961524826 on OpenAlexaff
Nicole Lewis, Shannon A. Martinson, Dorota Wadowska, Marion Desmarchelier

Bibliographic record

VenueJournal of Herpetological Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsUniversité de MontréalUniversity of Prince Edward Island
Fundersnot available
KeywordsHistopathologyPathologyHyperplasiaLungMedicineMetastasisFibrosisUltrastructureBiologyAnatomyCancerInternal medicine

Abstract

fetched live from OpenAlex

Abstract A 6-year-old male veiled chameleon (Chamaeleo calyptratus) was presented for mass removal on the right mandible. Histopathology revealed an iridophoroma, a subclassification of chromatophoromas. Several months later the chameleon was euthanized and the necropsy, combined with histopathology, indicated metastasis of a mixed chromatophoroma within the skin and to the lungs and testicle. The tumor was further subclassified as a mixed iridophoroma and xanthophoroma based on ultrastructure. Other pathologic findings included marked hepatic fibrosis and severe biliary hyperplasia and severe bilateral cystic glomerulopathy. This case demonstrates the malignant potential of chromatophoromas in chameleons and highlights the need for ultrastructural examination of these tumors for proper subclassification.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.080
GPT teacher head0.325
Teacher spread0.245 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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