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Record W2922165800 · doi:10.37828/em.2019.20.12

NEW DATA ON THE BUTTERFLIES OF WESTERN STARA PLANINA MTS (BULGARIA & SERBIA) (LEPIDOPTERA, PAPILIONOIDEA)

2019· article· en· W2922165800 on OpenAlexaboutno aff
Mario Langourov

Bibliographic record

VenueEcologica Montenegrina · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHabitats DirectiveEndangered speciesGeographyEcologyFaunaIUCN Red ListLepidoptera genitaliaBiologyBiodiversityHabitat

Abstract

fetched live from OpenAlex

The paper represents results of surveys carried out in the Western Stara Planina Mts within the last four years in order to improve the knowledge of the butterfly fauna, especially in the Bulgarian part of the mountain. A total of 150 species of Lepidoptera (Papilionoidea) was recorded with comments on their distribution in the Bulgarian part of the studied region. Nineteen species were recorded for the first time in the Bulgarian part of the mountain and one species (Apatura metis) – for the Serbian part. It has been found that the highest butterfly diversity is linked to the largest limestone area in the mountain near Komshtitsa Village where 101 species were observed. Interesting records for some rare or endangered species (Muschampia cribrellum, M. tessellum, Lycaena helle, Kirinia climene, Apatura metis, Nymphalis vaualbum, Melitaea didyma, M. arduinna, M. diamina and Brenthis ino) are discussed in detail. The high conservation value of the studied region proves by the species considered as threatened at the European level, of which seven species are included in the Annexes II and IV of the Habitats Directive, 12 species are listed in the Red Data Book of European butterflies and 26 in the European Red List of Butterflies.

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 score0.021
Threshold uncertainty score0.042

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.087
GPT teacher head0.245
Teacher spread0.158 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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