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<i>Monteiroa rubra</i> (Malvaceae: Malvoideae), a New Species Endemic to the Southern Brazilian Grasslands

2019· article· en· W2990765863 on OpenAlexaff
Martin Grings, Sérgio Augusto de Loreto Bordignon, Ilsi Iob Boldrini

Bibliographic record

VenueSystematic Botany · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsImpact
Fundersnot available
KeywordsIUCN Red ListBiologyEndangered speciesEndemismKey (lock)EcologyGenusCycadBotanyMalvaceaeTaxonomy (biology)Habitat

Abstract

fetched live from OpenAlex

Abstract—Monteiroa rubra is described as a remarkable new species from Rio Grande do Sul, Brazil. It is notably distinct from the other ten species of Monteiroa. The new species is morphologically most similar to the four species of the genus with unlobed leaves that also lack cordate leaf bases. Monteiroa rubra apparently is an endemic species known from three localities in wetlands associated with grasslands in Augusto Pestana and Fontoura Xavier municipalities in southern Brazil. A morphological description, distribution map, photographs, ecological notes, and a key to morphologically most similar species are presented. According to IUCN criteria, if a formal assessment were performed, the new species would probably be considered Endangered.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.175
Teacher spread0.161 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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