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Record W4404784542 · doi:10.1139/cjb-2024-0083

Sieve element traits differ in pulvini and petioles of <i>Mimosa</i> (Leguminosae, Caesalpinioideae) with different types of leaf movement

2024· article· en· W4404784542 on OpenAlexvenueno aff
Stefany Cristina de Melo Silva, Sílvia Rodrigues Machado, Tatiane Maria Rodrigues

Bibliographic record

VenueBotany · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsCaesalpinioideaeBiologyBotanyFabaceae

Abstract

fetched live from OpenAlex

The vascular system, particularly the phloem, has been considered a key issue in driving the pulvini functioning. Studies comparing phloem in different leaf regions and in plants with different leaf movement types can help clarifying the aspects involved in the pulvini functioning. Here, we investigated the morphological traits of the sieve tube elements in a comparative way between pulvini and petioles of Mimosa pudica L. (a legume with fast leaf movements) and Mimosa caesalpiniifolia Benth. (a legume with slow leaf movements). Pulvini and petioles were analyzed under light and transmission electron microscopy. Sieve elements in pulvini had thicker walls than those of petioles, especially in M. pudica. Nacreous walls occurred in the sieve elements of M. pudica pulvini. Dispersive and non-dispersive P-proteins and P-plastids occurred in the pulvini and petioles of both species. The marked differences in the lumen area and cell wall features of the sieve elements between pulvini and petiole indicate the specialization of the phloem in the pulvinus functioning.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score0.151

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)0.0000.000

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 head0.014
GPT teacher head0.237
Teacher spread0.223 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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