MétaCan
Menu
Back to cohort
Record W2098687098 · doi:10.5539/ijb.v3n3p144

Variations in the Plasma Levels of Thyroid Hormones and Testicular Activity in the Male Air-breathing Catfish (Clarias gariepinus) over the Annual Cycle

2011· article· en· W2098687098 on OpenAlexvenueno aff
Proforma Suchiang, Braj Bansh Prasad Gupta

Bibliographic record

VenueInternational Journal of Biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsnot available
Fundersnot available
KeywordsClarias gariepinusCatfishGonadosomatic IndexHormoneBiologyTriiodothyronineInternal medicineEndocrinologyThyroid hormonesThyroidAnimal scienceFish <Actinopterygii>MedicineFisheryFecundityPopulation

Abstract

fetched live from OpenAlex

The purpose of this study is to evaluate seasonal variations in thyroxine (T4) and triiodothyronine (T3) levels and testicular activity in the male air-breathing catfish Clarias gariepinus. Plasma T4 levels increased from March to a peak in July and then decreased throughout autumn, declining to their lowest level in January. Plasma T3 levels also varied seasonally, increasing from March to a peak in June. The increase in plasma levels of thyroid hormones coincided with an increase in the testicular activity of the fish. The gonadosomatic index (GSI) peaked in May and then declined slowly. In February and March, the testes were characterized by a new generation of spermatogenic cells. Mature spermatozoa appeared in April and became dominant in the testes during the summer months. Testicular activity decreased gradually with the gradual decrease in water temperature and day-length during the autumn season. Decreased testicular activity during the winter months was associated with low GSI values. The patterns of seasonal change in the levels of thyroid hormones as well as testicular activity were similar to those in water temperature and natural day-length.

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)0.001
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 score0.677
Threshold uncertainty score0.176

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of BiologySame topicReproductive biology and impacts on aquatic speciesFrench-language works237,207