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Record W2945998891 · doi:10.1080/17451000.2019.1612070

Biological aspects of the marine crab <i>Plagusia depressa</i> (Fabricius, 1775) on the northeast coast of Brazil

2019· article· en· W2945998891 on OpenAlexaff
Carlos Alberto de Oliveira Rocha, José Jonathas Pereira Rodrigues de Lira, Julianna de Lemos Santana, Márcio Paiva Guimarães, Tereza Cristina dos Santos Calado

Bibliographic record

VenueMarine Biology Research · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsMcGill University
FundersCiência sem FronteirasCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsAllometryGonopodSex ratioBiologyJuvenileEcologyZoologyCrustaceanDecapodaDemographyPopulation

Abstract

fetched live from OpenAlex

The marine crab Plagusia depressa, despite its broad geographic range, is not well known. Here, we attempt to fill this gap by studying several aspects of its biology. We sampled P. depressa in the reefs of Coruripe, Brazil and investigated the sex ratio, body size, maturity, the allometric growth of the gonopod in males and of the abdomen in females, the reproductive effort, the breeding season and the influence of environmental variables. We found that 1) the sex ratio, overall, does not deviate from 1:1; 2) females (33.71±10.62 mm) are larger than males (30.45±9.94 mm; t1,764: -4.40, p<0.001); 3) males (23.42±0.24 mm) mature at smaller sizes than females (26.78±0.19 mm); 4) the growth of the gonopod is positive allometric in juveniles (slope = 1.66±0.04), but negative allometric in adolescents (0.93±0.02) and adults (slope = 0.86±0.03). In females, the abdomen undergoes a positive allometry in juveniles (slope = 1.74±0.04) and adolescents (slope = 1.97±0.09), but an isometric growth in adults (slope = 0.99±0.04); 5) the breeding period is continuous and not influenced by rainfall, water temperature and salinity; 6) egg mass strongly increases with body mass (slope = 1.56, R2=0.84, p<0.001).

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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.034
GPT teacher head0.297
Teacher spread0.263 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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