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Record W7099041608

www.mapress.com/zootaxa / Correspondence

2007· article· en· W7099041608 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpiderFaunaBiodiversityIdentification (biology)Taxonomy (biology)Global biodiversity
DOInot available

Abstract

fetched live from OpenAlex

Ecuador is considered one of the most biodiverse countries in the world (Mittermeier et al. 1997), yet its spider fauna is unknown and understudied. Only 709 species distributed in 43 families are known to occur in Ecuador (Platnick 2013), whereas in Canada, a country much less biodiverse, the spider fauna is composed of 1405 spider species distributed in 43 families (Paquin et al. 2010). It seems reasonable to assume that a large part of the Ecuadorian spider fauna is still undiscovered. Furthermore, some groups are badly in need of revision, many species are known only from the type specimens, old descriptions and in some cases no illustrations were provided by the author making it difficult to recognise these species. In 1909, Embrik Strand described 17 new species of Ctenus Walckenaer, 1805 from South America (Strand 1909); seven of these species (three from Ecuador and four from Brazil) have never been illustrated or included in any recent taxonomic work. Even though Strand’s descriptions are quite elaborate, he did not provide any illustrations, thus making the identification of his species difficult. This paper is the first of two papers on Embrik Strand’s mysterious Ctenus species. The first part includes redescriptions and illustrations for the first time of the three

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.243
Teacher spread0.222 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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