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Record W4403369598 · doi:10.1134/s0032945224700590

Population Structure and Reproductive Biology of Lane Snapper, Lutjanus synagris (Lutjanidae) Caught in the Reef Fish Fishery of Pernambuco, Brazil

2024· article· en· W4403369598 on OpenAlexaff
Suellen Marinho Andrade, Ana Maria Setúbal Pires, Paulo César de Almeida, Isabel Coutinho, Shannon M. Bayse, Paulo Oliveira

Bibliographic record

VenueJournal of Ichthyology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLutjanidaeFisheryBiologyPopulationFish <Actinopterygii>ReefCoral reef fishDemography

Abstract

fetched live from OpenAlex

Abstract Lane snapper Lutjanus synagis (Linnaeus 1758) is abundant in Northeastern Brazil and economically relevant to the artisanal fishery. Population and reproductive aspects of lane snapper wereinvestigated to assist assessment. Lane snappers were acquired in Pernambuco (n = 406) from 2013 to 2015. Sex ratio is close to 1 : 1 (213 males and 179 females). For males, the total length, TL (mode) ranges from 16.3–27.8 cm (20.4 cm). For females, TL ranges from 17.0–29.9 cm (21.0 cm). The species have negative allometric growth (b < 3). The length that 50% of the population reach maturity (L50) using TL is 17.7 cm for both sexes. Macroscopical and microscopical gonadal stages are described per sex, and the gonadosomatic index indicates that reproduction happens during the dry season, between September and March, and two maturational peaks are observed, the first between September and November and the second between January and March.

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 score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.008
GPT teacher head0.267
Teacher spread0.259 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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