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Record W4328020166 · doi:10.7751/telopea15631

Grevillea gilmourii Olde and G. milleriana Olde (Proteaceae: Grevilleoideae: Hakeinae), two species newly described from New South Wales

2022· article· en· W4328020166 on OpenAlexaboutno aff
Peter Maurice Olde

Bibliographic record

VenueTelopea · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyProteaceaeBotany

Abstract

fetched live from OpenAlex

Grevillea gilmourii Olde and G. milleriana Olde, two species new to science, are described. They are putative
 members of the Aspleniifolia/Hookeriana Subgroup of the Grevillea Pteridifolia Group. Grevillea gilmourii is
 separated from G. macleayana (McGill) Olde & Marriott where it had previously been treated as the ‘Deua
 form’, a geographically disjunct, divided-leaf variant. The separate formal recognition of G. gilmourii here
 necessitates a revised delineation of G. macleayana to restrict it to populations with undivided leaves only,
 incorporating recent clarification to terminology in relation to leaf lobing. Grevillea milleriana is a recent
 discovery from the Maddens Plains area, south of Sydney. Known from a single plant, its recognition as a
 biological species rather than as a self-sown hybrid is discussed. All three species are linked morphologically
 and historically to the Victorian species G. barklyana F.Muell. ex Benth., which remains taxonomically
 unaltered from recent treatments. For the sake of convenience, all four species (G. barklyana, G. macleayana,
 G. gilmourii and G. milleriana) are grouped informally into an alliance, the Grevillea barklyana alliance, for
 which diagnostic characters are outlined and two identification keys are given. Both newly described species
 have divided leaves and are known from only small populations. Conservation recommendations are provided
 for both new species.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.175
Teacher spread0.145 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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