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Record W2955668063 · doi:10.1134/s0032945219030196

Palatability of Water Organisms for Nile Tilapia Oreochromis niloticus (Cichlidae)

2019· article· en· W2955668063 on OpenAlexaboutno aff
M. I. Vinogradskaya, A. O. Kasumyan

Bibliographic record

VenueJournal of Ichthyology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsNile tilapiaPalatabilityOreochromisBiologyElodea canadensisEichhornia crassipesTasteHyacinthBotanyAquatic plantFood scienceFish <Actinopterygii>EcologyFisheryMacrophyte

Abstract

fetched live from OpenAlex

The palatability of six species of aquatic animals and five species of plants for the Nile tilapia Oreochromis niloticus was evaluated. Aqueous extracts of most organisms (ten of 11 species) have an attractive taste, which corresponds to euryphagia and nutritional plasticity of the Nile tilapia. Despite phytophagia, the palatability of an animal extract is higher than that of plants. The low stimulating effect of the extract of the duckweed Lemna minor suggests the presence of natural taste deterrents in it. The extract of the Canadian waterweed Elodea canadensis, depending on the origin of the plant, either completely blocks consumption or has inert taste properties. Different parts of the water hyacinth Eichhornia crassipes (leaves, roots) have a similar palatability. Repeated grasps manifested during orosensory testing of food are not typical for feeding behavior of the Nile tilapia. The results of the study indicate the ability of fish to subtly differentiate food organisms according to their taste qualities and emphasize the important role of taste reception in the choice of food objects by fish.

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 score0.001
Threshold uncertainty score0.004

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 head0.005
GPT teacher head0.192
Teacher spread0.186 · 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

Citations12
Published2019
Admission routes1
Has abstractyes

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