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Record W2999269024 · doi:10.20302/nc.2019.28.26

Caddisfly fauna characteristics (Insecta, Trichoptera) of four Adriatic islands with a note on DNA barcoding

2019· article· en· W2999269024 on OpenAlexfundno aff
Mladen Kučinić, Anđela Ćukušić, Hrvoje Plavec, Miro Landeka, Mladen Plantak, Marijana Vuković, Višnja Bukvić, Sanja Žalac, Gordan Lukač

Bibliographic record

VenueNatura Croatica · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsnot available
FundersHrvatska Zaklada za ZnanostMcMaster UniversitySveučilište u Zagrebu
KeywordsFaunaCaddisflyBiologyEcologyZoologyDNA barcodingLarva

Abstract

fetched live from OpenAlex

To date, 13 species of Trichoptera from 11 genera and 8 families have been reported for the Adriatic islands of Cres, Krk, Pag and Hvar.Relatively recent research has been conducted on the islands of Cres, Krk and Pag, where 329 adults of Trichoptera belonging to 10 species from 8 genera and 6 families were collected.Most dominant was Ecnomus tenellus with 235 specimens collected (islands of Krk and Cres), followed by Leptocerus tineiformis (Krk) with 51 specimens collected.Only one specimen of the each species Stenophylax mitis (Cres) and Mystacides azurea (Krk) was recorded.Most of the species were recorded on the island of Krk (7), and the lowest on the island of Pag (2).Faunistically most interesting was the first finding of species Stenophylax mitis McL. for the fauna of Croatia.

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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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