MétaCan
Menu
Back to cohort
Record W7043174002

Role of progesterone in the sexual ripening of Mya Arenaria and study of the effect of an endocrine disruptor : tributyltin on steroid hormone levels

2003· other· fr· W7043174002 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2003
Typeother
Languagefr
FieldEngineering
TopicMarine Biology and Environmental Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsTributyltinHormoneEndocrine disruptorEndocrine systemSteroid hormone
DOInot available

Abstract

fetched live from OpenAlex

Les principaux objectifs de cette étude sont de mettre en évidence l'influence de la progestérone sur la gamétogenèse et d'étudier l'effet du tributylétain (TBT) sur le niveau des hormones sexuelles (progestérone, testostérone et 17 -estradiol) chez Mya arenaria. Après caractérisation de la progestérone dans la gonade chez Mya arenaria, un pic de cette hormone en relation avec la période de maturation sexuelle a été mesuré. Le délai de la maturation sexuelle constaté chez les myes de Rimouski semblerait être lié aux faibles niveaux de la progestérone mesurés chez ces organismes. La présence des perturbateurs endocriniens tels que le TBT et DBT dans la gonade de ces myes pourrait être la cause des teneurs faibles en progestérone. Les organismes exposés à une contamination nominale de 100 ng TBTCl/L renferment dans leur gonade 491 ng Sn (TBT)/g (poids sec) après deux mois d'exposition et 1031 ng Sn/g après trois mois d'exposition. Les niveaux de testostérone augmentent de 50% chez les femelles exposées à 10 et 100 ng TBTCl/L après un mois d'exposition suivi par une augmentation du niveau en -oestradiol après trois mois d'exposition comparativement aux contrôles.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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 designBench or experimental
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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueOpenGrey (Institut de l'Information Scientifique et Technique)Same topicMarine Biology and Environmental ChemistryFrench-language works237,207