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Record W2257288220 · doi:10.1186/s40490-016-0058-y

Armillaria aotearoa species nova

2016· article· en· W2257288220 on OpenAlexaff
I. A. Hood, Tod D. Ramsfield

Bibliographic record

VenueNew Zealand journal of forestry science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsCanadian Forest Service
Fundersnot available
KeywordsArmillariaBiologyBasidiocarpBotanyInternal transcribed spacerDNA sequencingRibosomal DNAPhylogenetic treeTaxonomy (biology)DNAGeneGenetics

Abstract

fetched live from OpenAlex

Three named species of Armillaria are currently recognised as occurring in New Zealand: Armillaria novae-zelandiae (G. Stev.) Herink, A. limonea (G. Stev.) Boesew. and Armillaria hinnulea Kile & Watling. A fourth species (Armillaria sp. nov.) has been collected in New Zealand over a period of 30 years but has not yet been named. Maximum likelihood analysis, using DNA sequence data from the internal transcribed spacer region (ITS) of the ribosomal DNA repeat, DNA sequencing of the elongation factor 1-α gene, cultural pairing studies and morphological examination were undertaken to confirm the novelty of Armillaria sp. nov. as a distinct species. Armillaria sp. nov. is distinguished by the morphology of the fresh basidiocarp, cultural interfertility tests with other Armillaria species and DNA sequence data. Armillaria sp. nov. is here formally named Armillaria aotearoa.

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)0.001
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.230
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

Citations11
Published2016
Admission routes1
Has abstractyes

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