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Record W4403236446 · doi:10.31111/nsnr/2024.58.2.l1

The first record of the lichen genus Tayloriellina (Teloschistoideae) and the North American species T. microphyllina in Eurasia (Russian Far East)

2024· article· en· W4403236446 on OpenAlexaboutno aff
Ivan V. Frolov, I. А. Prokopiev, P. D. Tumanina

Bibliographic record

VenueNovosti sistematiki nizshikh rastenii · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsnot available
Fundersnot available
KeywordsLichenFar EastGeographyGenusEast AsiaAncient historyArchaeologyEcologyBiologyChinaHistory

Abstract

fetched live from OpenAlex

The subfamily Teloschistoideae (Teloschistaceae) is mainly distributed in the Southern Hemisphere. Just a few its species were recorded in eastern Asia, and only Teloschistes flavicans has been known in the Russian Far East. Here, we report the discovery of Tayloriellina microphyllina in the Primorye Territory on the eastern shore of Lake Khanka where it is abundant in xerothermic conditions of Quercus mongolica–Pinus × funebris forest. This corticolous Teloschistoideae species has been previously known in the temperate regions from the southern Canada to central Mexico in North America. Our finding is confirmed by molecular data (nrITS). Morphology and chemistry as well as long distance dispersal vs. relict origin of the Far Eastern population of T. microphyllina are shortly discussed.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.185
Teacher spread0.175 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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