MétaCan
Menu
Back to cohort
Record W3103773842 · doi:10.1638/2019-0221

A CLUSTER OF CASES OF THYROID HYPERPLASIA IN AQUARIUM-HOUSED TROPICAL MARINE TELEOSTS FOLLOWING A CHANGE OF SALT MIX BRAND

2020· article· en· W3103773842 on OpenAlexaff
Marion Jalenques, Claire Vergneau‐Grosset, Noémie Summa, Wahiba Ait Youcef, Jean-Francois St-Cyr, Stéphane Lair

Bibliographic record

VenueJournal of Zoo and Wildlife Medicine · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsThyroidIodineAnimal husbandryIodised saltIodine deficiencyPhysiologyBiologyEndocrinologyChemistryEcologyAgriculture

Abstract

fetched live from OpenAlex

Follicular thyroid hyperplasia was diagnosed in nine out of 32 (28%) marine tropical teleosts housed in a public aquarium over a 9.5-mo period. These proliferative lesions were considered to be the cause of death in five of these fish. Iodine concentration was undetectable in nonozonized water (<0.005 mg/L), suggesting that an environmental iodine deficiency was the cause of these hyperplastic thyroid lesions. The only significant modification in the husbandry was a change, 18 mo before the first case, of the commercial salt mix brand used to make artificial seawater. The iodine content in this replacement salt mix was five times lower than that of the salt mix used before. This case series suggests that the iodine concentration in this new salt mix was insufficient to maintain thyroid homeostasis in reef teleosts under the husbandry provided in this institution.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.027
GPT teacher head0.276
Teacher spread0.250 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Zoo and Wildlife MedicineSame topicReproductive biology and impacts on aquatic speciesFrench-language works237,207