MétaCan
Menu
Back to cohort
Record W3092018324 · doi:10.15407/gb1906

Distribution and morphological features of the common sunfish Lepomis gibbosus (Linnaeus, 1758) in waters of Luhansk Oblast, Ukraine

2020· article· en· W3092018324 on OpenAlexaboutno aff
Ė. Z. Koval, Vitaliy Foroshchuk

Bibliographic record

VenueGeo&Bio · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Biological Research in Conflict Zones
Canadian institutionsnot available
Fundersnot available
KeywordsLepomisFisheryZoologyGeographyBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

The common sunfish (Lepomis gibbosus), a representative of the North American fish fauna, became widespread in waters of south-eastern Ukraine. Currently, it is known from water bodies of the Northern Pryazovia, from the basins of the Dnipro and Siversky Donets Rivers. The common sunfish is a recent invader species in the fish fauna of the Siversky Donets and Mius Rivers. Fish were caught in the Siversky Donets River above and below the dam of the Schastinska TPS, in the rivers Luhan, Olkhova, and Luhanchik, an in the reservoir of the former Shteregresovska TPS on the Mius River. They were caught on a fishing rod in June-July 2015–2019. Findings of the common sunfish from the Aydar and Derkul Rivers are also known. Morphometric features of the common sunfish L. gibbosus were studied for the first time. An analysis of the data revealed that the occurrence of the common sunfish in the studied water bodies led to the formation of a more elongated body shape compared to individuals from the native range (Ontonabe River, Canada). This is confirmed by the maximum values of average length of the head, dorsal and pectoral fins, post-dorsal distance, and body height in relation to standard body length. Although the caught fish had slightly higher average values of standard body length compared to those from the natural range, determination of Student's t-test confirmed the revealed regularity between fish samples from the Sіversky Donets and Ontonabe Rivers according to these characters, but there was no significant difference between the average values of the pectoral fin length. Comparison of fish samples from the Dnieper and Ontonabe Rivers showed a significant difference between the mean values of only the largest body height among the considered characters. No significant differences in the mean values of these characters were found when comparing fish samples from the Sіversky Donets and Dnipro Rivers. Special deviations of meristic features in the studied fish were not noted, only their range of variation was wider. Due to the significant rate of its expansion and the damage caused to aborigine ichthyofauna, this invasive species should receive quarantine status in the near future.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.377

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.238
Teacher spread0.218 · 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.

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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueGeo&BioSame topicEnvironmental and Biological Research in Conflict ZonesFrench-language works237,207