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Record W3008974157 · doi:10.1139/cjb-2019-0158

Structural and developmental patterns in the pericarp of Malpighiaceae: new data from winged fruits of <i>Janusia</i>, <i>Mascagnia</i>, and <i>Tetrapterys</i>

2020· article· en· W3008974157 on OpenAlexvenueno aff
Letícia Silva Souto, Denise María Trombert Oliveira

Bibliographic record

VenueBotany · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsMalpighiaceaeBiologyBotanyAnacardiaceaePhylogenetic treeEpidermis (zoology)OntogenyPlant anatomyGigartinalesPlant morphologyAnatomyAlgae

Abstract

fetched live from OpenAlex

Malpighiaceae have highly varied fruits, and their characteristics are traditionally used in taxa delimitation. However, fruit characters are homoplastic; therefore, detailed analyses are indispensable. Here, we have described winged-fruit ontogeny and anatomy of four Malpighiaceae species from different clades, and compared them with others described in the literature, with the goal of recognizing common developmental and structural patterns. Flowers and fruits were collected and processed for light microscopy. In the ovary, the main patterns were a uniseriate outer epidermis, a mesophyll with two or three distinct regions, and an inner epidermis formed by elongated or isodiametric cells. In the pericarp, the uniseriate exocarp appeared to be consistent throughout the family, and the outermost parenchymatic layers of the mesocarp and the inner layers formed by thickened-lignified cells prevailed. Some species also had a middle layer in the mesocarp, composed of lignified cells. The most substantial variation was in the endocarp and was independent of fruit type and phylogenetic position. Three structural patterns were recognized: sclerenchymatous cells, elongated and non-lignified cells, and a seed cushion. These data allow for the identification of important structural patterns in Malpighiaceae, and the high structural variation in the endocarp is promising for its systematics.

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 score0.401
Threshold uncertainty score0.224

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 head0.059
GPT teacher head0.205
Teacher spread0.146 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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