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Record W4391427335 · doi:10.32942/x26w4z

Sexual system variation in the legumes (Fabaceae): prospects for morphological, evolutionary and genomic study

2024· preprint· en· W4391427335 on OpenAlexafffund
Quentin Cronk, Leonardo M. Borges

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Chemistry
Canadian institutionsRoyal British Columbia Museum
FundersNatural Sciences and Engineering Research Council of CanadaFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsFabaceaeVariation (astronomy)BiologyEvolutionary biologyGenetic variationGeneticsBotanyGene

Abstract

fetched live from OpenAlex

Although the great majority of legume species are cosexual with hemaphrodite flowers, a variety of sexual systems are observed in the family including monoecy, andromonoecy, androdioecy and dioecy. Such broad terms conceal much variation, details that may be of importance in understanding the evolutionary and ecological basis of reproductive systems. This variation is often inadequately described in taxonomic works which, through practical necessity, require brevity. Here we provide an overview of the sexual systems of legumes and propose a simple notation for summarizing sexual variation in the form of an unequivocal formula: the inflorescence formula. We also suggest a protocol for detailed description of sexual variation, which we hope will be useful in guiding future studies of sexual variation in plants. Detailed knowledge of sexual variation at the morpholological level is an important prerequisite for molecular investigation of the evolutionary developmental biology of sex systems. Legumes provide a rich field for future evo-devo investigations in this area.

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)0.001
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 score0.920
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
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 head0.032
GPT teacher head0.269
Teacher spread0.237 · 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 routes2
Has abstractyes

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