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Record W1964890076 · doi:10.11646/phytotaxa.176.1.24

Morphology and phylogeny of Pseudorobillarda eucalypti sp. nov., from Thailand

2014· article· en· W1964890076 on OpenAlexfundno aff
Narumon Tangthirasunun, Philippe Silar, Darbhe J. Bhat, Ekachai Chukeatirote, D.N. NALIN WIJAYAWARDENE, Sajeewa S. N. Maharachchikumbura, Kevin D. Hyde

Bibliographic record

VenuePhytotaxa · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
FundersMushroom Research FoundationUniversité Paris DiderotInstitute of GeneticsMae Fah Luang University
KeywordsBiologyDothideomycetesPhylogenetic treePhylogeneticsInternal transcribed spacerRibosomal DNAGenBankRibosomal RNAGeneticsTaxonomy (biology)GeneBotanyEvolutionary biology

Abstract

fetched live from OpenAlex

Pseudorobillarda is a coelomycete genus of Dothideomycetes with appendaged conidia and 15 species epithets. In this study, we isolated four strains of Pseudorobillarda from dead leaves in Thailand. DNA sequence data generated from the large subunit (28S) ribosomal DNA (nuLSU) gene was used in phylogenetic studies. The phylogenetic trees generated indicate that Pseudorobillarda form a distinct lineage in Dothideomycetes that may eventually require separate family status. The Pseudorobillarda strains comprised two distinct species and this is also supported by morphological characteristics. In this paper we introduce a new species of Pseudorobillarda, P. eucalypti and compare it with other species of the genus. We also deposit data from the internal transcribed spacer (ITS), small subunit (18S) ribosomal DNA (nuSSU),the RNA polymerase II 2nd largest subunit genes (RPB2), Translation Elongation Factor 1-α (TEF1-α) and β-Tubulin (Bt) genes from each strain in GenBank for future studies.

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 score0.002
Threshold uncertainty score0.004

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 communication0.0010.000
Open science0.0000.000
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 head0.008
GPT teacher head0.210
Teacher spread0.203 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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