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Record W4366976407 · doi:10.11646/phytotaxa.594.2.6

Typification and taxonomy of Echinophora scabra (Echinophoreae, Apioideae)

2023· article· en· W4366976407 on OpenAlexaff
Maryam Khajehpiri, Hojjatollah Saeidi, Catherine La Farge, Farrokh Ghahremaninejad

Bibliographic record

VenuePhytotaxa · 2023
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSepalIndumentumBiologyBotanyPetalPedicelEudicotsTaxonomy (biology)HerbariumTypificationNomenclaturePollenStamen

Abstract

fetched live from OpenAlex

Echinophora scabra (Apiaceae) is one of the endemic species to the Iranica plateau with limited distribution range in Afghanistan and Pakistan which is the most eastern edge of the genus existence and penetration. In addition to its geographic distribution, morphologic, anatomic and micromorphologic characters of the plant, especially its umbellulas and mericarps features, make this species a remarkable candidate for further studies. Some of the most important and taxonomically valuable characters of its umbellulas and mericarps are: number of the male pedicels, absence of the sepals in umbellula’s central flower, petals shape, size of the sepals in male flowers, style length and indumentum, hypodermal collenchyma, relative size of the vascular bundles and vallecular vittae, width to thickness ratio of the endosperm, mericarp’s hair length and size of the platelets secretion on the mericarp surface. Here, we provided an emended taxonomic description improved with anatomical and micromorphological characters of the umbellulas and mericarps. Besides, we designated a lectotype and presented a comparison character table as well as a distribution map.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.226
Teacher spread0.201 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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