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Record W2792438639 · doi:10.12681/jhvms.15068

Aquaculture systems and pathological problems of new species reared in fresh water in Greece

2017· article· en· W2792438639 on OpenAlexaboutno aff
B. RAGIAS, F. Athanassopoulou

Bibliographic record

VenueJournal of the Hellenic Veterinary Medical Society · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMugilBiologySturgeonAquacultureFisheryMulletSea bassAcipenserFish farmingZoologyRainbow troutAnimal scienceFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Published data on growth and pathology of the fish species: Mugil cephalus (mullet) and Acipenser gueldestaedi (sturgeon), under intensive culture, is limited. In particular, data on dietary requirements is non-existing. For the artificial feeding of these fish, other feeds originally prepared for other cultured fish species are used (trout and/or sea bass, sea bream pelleted feeds). Mugil cephalus is very tolerant to intensive rearing and the main problem observed was recurrent infections by Chilodonella sp. Mugilids reared in lagoons are infected with a variety of parasites, but these do not cause problems and mortality. Acipenser gueldestaedi is a very desirable fish for rearing, because of the fast growth rate, the good digestibility of food, even with no specific diets and the ability to be cultured under different systems. Furthermore, it has a wide temperature tolerance, it is very tolerant to stress and the mortality at fish&gt; 5cm is less than 5%. Disease experiences from rearing sturgeon are reported mainly from N. America and concern viral infections. In Greece, Acipenser gueldestaedi seems to be very susceptible to both Noda virus and spinal deformities after the weight of 500g. Fish in open flow systems started to show skeletal abnormalities with increasing prevalence. Histopathology investigations, both in Greece and Canada, were inconclusive as to the aetiology of these skeletal deformities. These could not be proved to be associated with the feed of the fish. These deformities have been observed before in cultured sturgeon, but they are not yet fully investigated. At a later stage, fish cannot swim properly, do not feed and soon succumb to secondary infections by Aeromonas hydrophila.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.153
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.068
GPT teacher head0.263
Teacher spread0.195 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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