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Record W2769208518 · doi:10.1017/s0024282917000536

The lichen genus<i>Rinodina</i>(<i>Physciaceae</i>,<i>Caliciales</i>) in north-eastern Asia

2017· article· en· W2769208518 on OpenAlexaff
J. W. Sheard, A.K. Ezhkin, И. А. Галанина, D. E. Himelbrant, Ekaterina S. Kuznetsova, Akira Shimizu, I. S. Stepanchikova, Göran Thor, Tor Tønsberg, L. S. Yakovchenko, Toby Spribille

Bibliographic record

VenueThe Lichenologist · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
Fundersnot available
KeywordsThallusBiogeographyGenusLichenGeographyEast AsiaPolyphylyPeninsulaBiologyBotanyEcologyChinaPhylogenetic treeArchaeology

Abstract

fetched live from OpenAlex

Abstract Rinodinais a widespread, polyphyletic genus of crustosePhysciaceaewithc. 300 species worldwide. A major missing link in understanding its global biogeography has been eastern Asia where the genus has never been systematically revised. Here we review specimen and literature records forRinodinafor north-eastern Asia (Russian Far East, Japan and the Korean Peninsula) and recognize 43 species. We describe two species,R. hypobadiaandR. orientalis, as new to science.Rinodina hypobadiais distinguished by its pigmented hypothecium,Dirinaria-type ascospores and pannarin in both thallus and epihymenium.Rinodina orientalisis characterized by its erumpent apothecia that remain broadly attached, with discs sometimes becoming convex and excluding the thalline margins, ascospores belonging to thePhyscia-type and secondary metabolites absent. Nine other species are reported from the region for the first time. These includeR. dolichospora,R. freyi,R. metaboliza,R. sicula,R. subminutaandR. willeyi. Of particular biogeographical interest are three additional new records that have western North American–eastern Asian distributions: the corticolous speciesR. endospora,R. macrosporaandR. megistospora. Six species have the better known eastern North American–eastern Asian distributions:R. ascociscana(syn.R. akagiensis,R. melancholica),R. buckii,R. chrysidiata,R. subminuta,R. tenuis(syn.R. adirondackii) andR. willeyi, and two have eastern North American–eastern Asian–European distributions:R. excrescensandR. moziana(syn.R. destituta,R. vezdae). Our study begins to close one of the largest gaps in our knowledge of circumboreal species distributions inRinodinaand, together with previous studies in North America and Europe, provides new insights into circumboreal crustose lichen biogeography.Rinodina cinereovirens(syn.R. turfaceavar. cinereovirens) is also reported as new to North America.

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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.031
GPT teacher head0.241
Teacher spread0.210 · 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

Citations42
Published2017
Admission routes1
Has abstractyes

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