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Record W4294685997 · doi:10.1590/2675-2824070.21095sa

Length-weight relationship of 22 fish species (Osteichthyes) from the surf zone caught by seine net on the northern coast of Pernambuco - Brazil

2022· article· en· W4294685997 on OpenAlexaff
Sidney Andrade, Victor Dias, Natalia Priscila Alves Bezerra, Lucas Santos, Isa Marielle Coutinho, Fábio Hissa Vieira Hazin, Shannon M. Bayse, Paulo Oliveira

Bibliographic record

VenueOcean and Coastal Research · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsMemorial University of Newfoundland
FundersUniversidade de PernambucoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBiologyFisheryMorphometricsRange (aeronautics)Fish <Actinopterygii>

Abstract

fetched live from OpenAlex

This study aims to analyze the length-weight relationship (LWR) of 22 fish species collected in the surf zone of Ponta de Pedras, northern coast of Pernambuco, Northeastern Brazil. The specimens were collected between August 2013 and July 2014 using a beach seine net, and their biometry were recorded in laboratory. The LWR was calculated using linear regression and, confidence intervals were estimated for the regression parameters a and b. A total of 1,433 specimens belonging to 22 species, 12 families, and six orders were collected. All species had b values within the expected range of 2.5-3.5 (except for S. plagusia). Additionally, 11 species have hyperallometry, eight have isometry, and three have hypoallometry. Herein, we present values of LWR for Lycengraulis grossidens, Trachinotus goodei, and Umbrina coroides, which are new to Northeastern Brazil, and Albula vulpes and Sparisoma radius which are new for the Brazilian coast.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.048
GPT teacher head0.259
Teacher spread0.210 · 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.

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
Published2022
Admission routes1
Has abstractyes

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