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Record W4387197475 · doi:10.11646/phytotaxa.618.1.3

Drosera maanyaa-gooljoo, a new species of Drosera section Arachnopus (Droseraceae) from the Buccaneer Archipelago and Yampi Peninsula, northwest Kimberley region, Western Australia

2023· article· en· W4387197475 on OpenAlexaff
Thilo Krueger, Adam T. Cross, Dambimangari Rangers, Andreas Fleischmann

Bibliographic record

VenuePhytotaxa · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsBentley (Canada)
FundersCurtin University of Technology
KeywordsHerbariumIndumentumArchipelagoBiologyTaxonPeninsulaBotanyTaxonomy (biology)Flora (microbiology)DisjunctEcologyPopulationPaleontology

Abstract

fetched live from OpenAlex

Drosera maanyaa-gooljoo, a new annual species of Drosera section Arachnopus from the remote Buccaneer Archipelago and Yampi Peninsula in the northwest Kimberley region of Western Australia, is described and illustrated. Drosera maanyaa-gooljoo is a distinctive species that differs in morphology and indumentum from all previously known taxa of D. section Arachnopus. Comprehensive photo plates comparing all morphological details, as well as seed shape and structure, with those of the putatively related D. barrettiorum and D. hartmeyerorum are provided. Given D. maanyaa-gooljoo is only known from two small populations, a Priority One status under Conservation Codes for Western Australian Flora is recommended. Both populations occur within exclusive Native Title lands of the Dambimangari and Mayala Traditional Owners. This exciting new species discovery highlights the importance of both consultation with Indigenous people and herbarium revisions for alpha taxonomy and biodiversity research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.045
GPT teacher head0.230
Teacher spread0.185 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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