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Record W6893338574 · doi:10.5281/zenodo.15103223

Tanytarsus miriforceps

2025· article· en· W6893338574 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldComputer Science
TopicExplainable Artificial Intelligence (XAI)
Canadian institutionsnot available
Fundersnot available
KeywordsPupaGlacial periodGlobal biodiversityTaxonomy (biology)FaunaLatitude

Abstract

fetched live from OpenAlex

Tanytarsus miriforceps (Kieffer, 1921) Material examined. • 13 pupal exuviae, 1 adult – male, Taul Stiol (R 4), 3 July 2023 • 110 pupal exuviae, 1 pharate adult – male, 1 adult – male, Lake Lala Mica (R 2), 4 July 2023. Distribution. Holarctic. The species is widespread across Europe, primarily in northern and western countries (Ashe and Cranston 1984; de Jong 2016), with recent records in Poland, Montenegro and European Russia (Gilka and Dominiak 2007; Krasheninnikov 2014; Gadawski et al. 2022). It is also known from Canada (de Jong 2016); and the Far East (Orel 2018). Habitat. Current data indicate that this species is a limnobiont inhabiting lakes mainly at high altitudes and high latitudes (except for Lake Skadar), suggesting a preference for low temperatures (e. g., Verneaux and Aleya 1999). Remarks. The species exhibits symptoms of glacial relictualism as already suggested by Reiss and Fittkau (1971) and Reiss (1984). The collection of floating chironomid pupal exuviae from the lakes in this study provides an excellent basis for the chironomid inventory of the area. For species identification, exuviae are sometimes even more useful than adults (Prat et al. 2016). However, it should be noted that our species inventory from a “ snapshot ” survey cannot be comprehensive, as not all species present in a site emerge simultaneously. Even though the collection was conducted during a period suitable for recording most species (Wilson and Ruse 2005; own data), we believe that the absence of cold-stenothermic species / genera in our collection is due to their early spring emergence. Compared to some Central and East European countries, such as Hungary, Ukraine, Czechia, Slovakia, and Poland, the Romanian chironomid fauna is relatively well-studied. The latest checklist of the family from Romania (Tatole 2023) includes 517 species, with recent records of nine additional species raising this total to 526. This number could be even higher if species within the genus Limnophyes and some Chironomus species could be reliably identified. A detailed examination of the chorological data in the aforementioned checklist reveals a lack of records from the Rodna and Maramures Mountains. Chironomids are also absent from the list of Diptera collected in Maramures Mountains Nature Park (Parvu 2008). The only available information on chironomids associated with the studied lakes comes from the sediment core of Lake Taul Muced, where subfossil larval remains were identified to morphotype level (Diaconu et al. 2017). Here, we provide the first information about chironomid occurrence within the protected areas of Maramures Mountains Nature Park and Rodna Mountains National Park, offering potential value to use by the administrations of both parks.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.036
GPT teacher head0.269
Teacher spread0.233 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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