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Tumours and related lesions of the endocrine system of bony and cartilaginous fishes

2001· article· en· W2002632294 on OpenAlexaff
Leatherland, Down

Bibliographic record

VenueFish and Fisheries · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsMinistry of AgricultureGovernment of British ColumbiaUniversity of Guelph
Fundersnot available
KeywordsBiologyEndocrine systemThyroidHistopathologyContext (archaeology)PathologyZoologyEtiologyHyperplasiaMedicineGeneticsEndocrinologyHormone

Abstract

fetched live from OpenAlex

The literature pertaining to the prevalence and histopathology of endocrine cell and tissue tumours and related lesions (TRL) in bony and cartilaginous fishes is catalogued and reviewed in the context of the embryological origin of the various components of the endocrine system. Reports of TRLs of endocrine cells or tissues of fishes are relatively rare, and of these, most describe thyroid neoplasms that appear to be simple hyperplasia. The vast majority of published reports of endocrine TRLs in fishes are case‐studies, and thus, with a few notable exceptions, the aetiology of the lesions is unknown. The exceptions include the epizootics of thyroid neoplasms in introduced Pacific salmon in the Great Lakes, which appear to have an environmental aetiology, and epizootics of gonadal stromal cell neoplasms. The latter were all found in either hybrid species or highly inbred captive strains of fishes, suggesting a genetic involvement in the tumourigenesis. The possible aetiologies for the reported TRLs in wild and captive fish species are discussed, and various hypotheses proposing infectious agents, genetic factors and environmental contaminants are considered.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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

Citations22
Published2001
Admission routes1
Has abstractyes

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