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Record W2171987739 · doi:10.11646/zootaxa.3779.2.2

<p><strong>The centipedes (Arthropoda, Myriapoda, Chilopoda) from Colombia: Part I. Scutigeromorpha and Scolopendromorpha</strong></p>

2014· article· en· W2171987739 on OpenAlexaff
Amazonas Chagas, E. Chaparro, Sebastián Galvis Jiménez, Hernán Darío Triana, Eduardo Flórez D, José Carlos Sícoli Seoane

Bibliographic record

VenueZootaxa · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsMinnow Environmental (Canada)
FundersInstituto de Investigación de Recursos Biológicos Alexander von HumboldtFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsSubspeciesMyriapodaBiologyFaunaGenusZoologyCentipedeKey (lock)Taxonomy (biology)Ecology

Abstract

fetched live from OpenAlex

This study presents an updated list of centipedes of the orders Scutigeromorpha and Scolopendromorpha from Colombia based on data from the literature, the World Catalogue of Centipedes (CHILOBASE), and specimens examined in museum collections. Four families, nine genera, 37 species and four subspecies are listed. One species belongs to Scutigeromorpha, and 36 species and four subspecies to Scolopendromorpha. Eleven species and four subspecies of scolopendromorphs are recorded for the first time from Colombia. Newportia Gervais, 1847 is the most diverse genus with 12 species and three subspecies. Six species of Scolopendromorpha are endemic. Three species-Otostigmus inermis Porat, 1876, O. scabricauda (Humbert & Saussure, 1870) and Cryptops iheringi Brölemann, 1902-are deleted from the fauna of Colombia. The Andean Región in Colombia has the most records of Scutigeromorpha and Scolopendromorpha. Maps showing the geographical distribution are given for the orders, genera, and some species.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.027
GPT teacher head0.196
Teacher spread0.169 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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