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Record W4412128796 · doi:10.1139/cjz-2024-0177

Seasonal digestive/metabolic flexibility in juvenile detritivore marine estuarine-dependent fish <i>Mugil liza</i> (Mugilidae)

2025· article· en· W4412128796 on OpenAlexvenueno aff
Camila Albanesi, Alejandra López-Mañanes

Bibliographic record

VenueCanadian Journal of Zoology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMugilDetritivoreJuvenileMulletFisheryEstuaryFish <Actinopterygii>Juvenile fishZoologyEcologyInvertebrate

Abstract

fetched live from OpenAlex

Many organisms inhabiting heterogeneous habitats with seasonal changes in key environmental factors exhibit digestive/metabolic flexibility at different levels (e.g., biochemical and morphological). However, integrative studies in the wild on groups of ecological and economic importance such as detritivore marine estuarine-dependent fishes while inhabiting estuaries or coastal lagoons are lacking. This study analyzed juvenile Mugil liza Valenciennes, 1836 inhabiting Mar Chiquita Coastal Lagoon (Argentina) caught in autumn (5 °C) and spring (25 °C). We determined: digestive enzyme activities in the intestine; morphological traits; and, energy reserves in liver and muscle. Amylase, lipase, trypsin, and aminopeptidase-N activity increased in spring (270%, 33%, 270%, and 90%, respectively) while maltase and sucrase activity decreased (54% and 55%, respectively). Intestinal coefficient increased (18%) in spring. No changes occurred in hepatosomatic index, glycogen, and free glucose concentration. Triglycerides and protein concentration were higher in spring in both the liver (16% and 41%, respectively) and the muscle (25% and 26%, respectively). The results show a specific and differential modulation of key components of carbohydrate, lipid, and protein metabolism in spring, pointing out the occurrence of seasonal digestive/metabolic flexibility in juvenile Mugil liza in the wild which would allow them to support changes in key external factors.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Zoology→Same topicAquaculture Nutrition and Growth→French-language works237,207→