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Record W4392656285 · doi:10.1080/10454438.2024.2321203

Northern shrimp ( <i>Pandalus borealis</i> ) protein hydrolyzate and oil promote flesh pigmentation and growth in post-smolt Atlantic salmon ( <i>Salmo salar</i> )

2024· article· en· W4392656285 on OpenAlexaff
Sébastien Plante, France Béland, M.A. McNiven, Jacques Gagnon

Bibliographic record

VenueJournal of Applied Aquaculture · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsUniversity of Prince Edward IslandUniversité de Moncton
Fundersnot available
KeywordsSalmoBiologyFleshFisheryShrimpAquacultureZoologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

This study investigated the use of alternative ingredients obtained from Pandalus borealis by-products on flesh pigmentation and growth in post-smolt Salmo salar (initial weight of ~ 300 g). Four experimental diets were fed to fish in triplicate tanks for 16 weeks: a control diet and three other diets containing either synthetic astaxanthin, shrimp hydrolyzate, or shrimp oil. Fish that were fed the shrimp hydrolyzate diet exhibited higher red hue (based on L*a*b* data) when compared to fish fed the two other pigmented diets and had higher final weight. In addition, shrimp oil was found to be as efficient as artificial astaxanthin to increase the intensity of flesh pigmentation in Atlantic salmon. The shrimp hydrolyzate tested in our study provides an excellent source of astaxanthin and protein for Atlantic salmon. Likewise, shrimp oil could also constitute a natural source of astaxanthin and oil to this species.

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 score0.002
Threshold uncertainty score0.003

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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