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Record W2986812991 · doi:10.1590/2236-8906-65/2019

Verbenaceae no Parque Nacional do Caparaó, Serra da Mantiqueira, Brasil

2019· article· pt· W2986812991 on OpenAlexaff
Pedro Henrique Cardoso, Fernanda Santos-Silva, Luiz Menini Neto, Fátima Regina Gonçalves Salimena

Bibliographic record

VenueHoehnea · 2019
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsVerbenaceaeGeographyAltitude (triangle)ForestryPhytosociologyHumanitiesBiologyEcologySpecies richnessArtPlant community

Abstract

fetched live from OpenAlex

RESUMO Verbenaceae atualmente compreende 35 gêneros e cerca de 800 espécies distribuídas nas Américas, África, Ásia, Europa e Oceania. No Brasil são encontrados 16 gêneros e aproximadamente 280 espécies, com maior riqueza no Cerrado e Floresta Atlântica, principalmente nos campos rupestres e campos de altitude. O Parque Nacional do Caparaó está localizado na Serra da Mantiqueira, na divisa dos Estados de Minas Gerais e Espírito Santo. Esse parque destaca-se por apresentar o ponto de maior altitude da Região Sudeste do Brasil, o Pico da Bandeira, com 2.890 m. Possui vegetação representada por diferentes fitofisionomias, as quais incluem formações de floresta ombrófila densa (montana e alto montana), floresta estacional semidecidual montana e campos de altitude. Verbenaceae está representada nesta Unidade de Conservação por cinco gêneros e nove táxons, incluindo duas possíveis espécies novas de Lantana e Lippia, além de Citharexylum solanaceum, Glandularia lobata, Lantana fucata, L. nivea, L. robusta, Stachytarpheta cayennensis e Verbena rigida. A ocorrência de L. nivea é confirmada para o Brasil, sendo registrada pela primeira vez para o Estado do Espírito Santo. Nós apresentamos uma chave de identificação, descrições, pranchas de fotografias e comentários sobre a ecologia, taxonomia e distribuição geográfica dos táxons.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.991

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.025

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 head0.021
GPT teacher head0.206
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2019
Admission routes1
Has abstractyes

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