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Record W1979594376 · doi:10.1163/15685403-00003283

Annotated checklist and new records of Harpacticoida (Copepoda) from a coastal system of northern Colombia, South America

2014· article· en· W1979594376 on OpenAlexaboutno aff
Juan M. Fuentes-Reinés, Eduardo Suárez‐Morales

Bibliographic record

VenueCrustaceana · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsCopepodCarcinologyHarpacticoidaFaunaEcologyGeographyLittoral zoneBiogeographyFisheryBiologyTaxonomy (biology)CrustaceanDecapoda

Abstract

fetched live from OpenAlex

The harpacticoid copepod fauna of the Laguna Navío Quebrado, La Guajira, a protected area of the northern Colombian coast, was studied from plankton samples obtained at littoral areas covered by vegetation (macrophytes and mangroves), and at limnetic habitats close to an oyster bank. A total of 14 species of harpacticoid copepods are reported from the surveyed area. Nine of these species are new to the Colombian copepod fauna:Schizopera knabeniLang, 1965,Cletocamptus helobiusFleeger, 1980,Quinquelaophonte quinquespinosa(Sewell, 1924),Sarsamphiascus hirtus(Gurney, 1927),Parategastes herteliJacobi, 1953,Enhydrosoma lacunaeJakubisiak, 1933,Metis holothuriae(Edwards, 1891),Robertsonia propinqua(T. Scott, 1894) andNitokra tayloriGómez, Carrasco & Morales-Serna, 2012. The first two species have not been hitherto recorded from South America and the last one is reported for the Americas for the first time. Nine of these species are also new records for the Caribbean Sea. This is the first report on the marine benthic harpacticoid Copepoda from northern Colombia. A complete species list plus brief diagnostic descriptions of the new records for the Colombian harpacticoid copepod fauna are provided together with morphologic remarks, notes on the variability of some species and their distribution.

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 score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.217
Teacher spread0.200 · 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

Citations16
Published2014
Admission routes1
Has abstractyes

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