MétaCan
Menu
Back to cohort
Record W2889762687 · doi:10.5376/ija.2018.08.0021

Nutrient Requirement of African Sneakhead Fish (<i>Parachanna obscura</i>, Gunther 1861): a Review

2018· review· en· W2889762687 on OpenAlexvenueno aff
Juste Vital Vodounnou, Diane N. S. Kpogue, Jule Zounon, Emile Didier Fiogbé

Bibliographic record

VenueInternational Journal of Aquaculture · 2018
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyDomesticationFish <Actinopterygii>NutrientAquacultureZoologySnakeheadFisheryEcology

Abstract

fetched live from OpenAlex

The domestication of new species in aquaculture, strongly contributed to the promotion of the aquaculture in the recent years. Fish need lipids, energy, protein vitamins and minerals in their feed for to insure growth, reproduction, and other physiological functions. Several studies have been made on P. obscura in sight of its domestication. Dietary protein requirement, dietary lipid requirement and dietary carbohydrate requirement of P. obscura were previously studied. The aim of this study is to make a bibliographical on the nutrient requirements of the African snakehead fish ( P. obscura ) in order to promote P. obscura rearing. Protein requirements of P. obscura larvae are between 45 and 55.5% whereas for fingerlings are 42.5 and 53.5% of the diet. The optimal carbohydrate requirement of P. obscura fingerlings is 12% of diet and maximum crude lipid is 7% of the diet.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.052
GPT teacher head0.312
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of AquacultureSame topicFish Biology and Ecology StudiesFrench-language works237,207