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Novos registros do siri exótico Charybdis hellerii A. Milne-Edwards, 1867) (Crustacea, Portunidae), no litoral do Estado de Santa Catarina, Brasil.

2010· article· pt· W1803032967 on OpenAlexaff
Harry Boos, Michel Mattar de Oliveira, Ricardo Luiz Costantin Delfim

Bibliographic record

VenueRevista CEPSUL - Biodiversidade e Conservação Marinha · 2010
Typearticle
Languagept
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Charybdis hellerii (A. Milne-Edwards, 1867) é uma espécie de siri nativa do Indo-Pacífico cuja distribuição tem sido ampliada pelo transporte de suas formas larvais em água de lastro. No continente americano há registros desde os Estados Unidos (Flórida) até o Brasil (Santa Catarina). A presença desta espécie no litoral brasileiro configura-se como ameaça às espécies de siris nativos, explotados pela pesca artesanal. Novos locais de ocorrência foram registrados no Estado de Santa Catarina: Praia do Côco, Balneário Camboriú (26°57'45,43" S, 48°37'31,96" W); Baía de Itapocoroy, Penha (26°46'53,49" S, 48°36'13,08" W); Praia de São Miguel, Penha (26°49,671' S, 48°36,75' W) e Praia da Pinheira, Palhoça (27°51'0,95" S, 48°35'7,24" W). Este último local é o registro mais meridional de ocorrência desta espécie no Continente Americano. Em relação à biometria dos exemplares, destaca-se um macho coletado na Praia do Côco, que corresponde ao maior exemplar já registrado para esta espécie (82,0mm de largura da carapaça). Conclui-se que Charybdis hellerii apresenta ampla distribuição no litoral do Estado de Santa Catarina, sendo necessários estudos que avaliem os impactos causados por esta espécie sobre as comunidades biológicas.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.020
GPT teacher head0.255
Teacher spread0.235 · 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
Published2010
Admission routes1
Has abstractyes

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