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Record W2787202347 · doi:10.11646/phytotaxa.336.2.7

Puccinia neovelutina nom. nov., a replaced name for Aecidium elaeagni and its new aecial host from Japan

2018· article· en· W2787202347 on OpenAlexaff
Makoto Kakishima, Jing‐Xin Ji, Taiga Kasuya

Bibliographic record

VenuePhytotaxa · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsMinistry of Education and Child Care
FundersJapan Society for the Promotion of ScienceBulgarian Academy of Sciences
KeywordsBiologyPucciniaBotanyRust (programming language)FungusHost (biology)EcologyMildew

Abstract

fetched live from OpenAlex

The life cycle of the aecial stage of a rust fungus found on Elaeagnus umbellata var. rotundifolia in Chiba, Japan was clarified by inoculations. This rust fungus was morphologically identified as Puccinia velutina (anamorph: Aecidium elaeagni) alternating between Carex lenta and Elaeagnus species. This plant is a new host for this rust fungus. However, the current International Code of Nomenclature (ICN, Melbourne 2012) has abolished the distinction between “anamorph” and “teleomorph” names, and we propose a new name, P. neovelutina as a replaced name for A. elaeagni, because Puccinia elaeagni is a preoccupied available name. Its epitype specimen is designated.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.253
Teacher spread0.239 · 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 designNot applicable
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

Citations3
Published2018
Admission routes1
Has abstractyes

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