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Record W1990451461 · doi:10.1043/06-67.1

Relationships Among Resin-Producing Detarieae s.l. (Leguminosae) as Inferred by Molecular Data

2007· article· en· W1990451461 on OpenAlexaff
Marie Fougère‐Danezan, Stéphan Maumont, Anne Bruneau

Bibliographic record

VenueBioOne Complete (BioOne) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiologyMonophylyCaesalpinioideaeCladeInternal transcribed spacerTaxonPhylogenetic treeBotanyEvolutionary biologyZoologyFabaceaeGenetics

Abstract

fetched live from OpenAlex

Abstract The tribe Detarieae s.l. (Caesalpinioideae: Leguminosae) contains a large number of genera that produce resins, but which previously had been placed in differrent generic groups. To test the monophyly of the resin-producing Detarieae and to examine phylogenetic relationships among these genera, we analyzed sequences from the chloroplast trnL intron and trnL-F spacer for more than 80 taxa and from the nuclear ribosomal Internal Transcribed Spacers (ITS) for over 50 taxa. The two chloroplast regions were highly congruent, but incongruent with the nuclear ITS data. Incongruence may be the result of hybridization, particularly in the Colophospermum and Hardwickia polyploid lineage. Resin-producing taxa are scattered among two clades, the Prioria and Detarieae s.s. clades, which together are monophyletic, but only with weak support. This group is characterized by the ability to produce bicyclic diterpenes. The phylogenetic relationships as inferred from molecular data resolved the intergeneric affinities but the main clades obtained are different from the groupings proposed by classifications based primarily on morphological characters. Based on these analyses, we propose new generic groupings that correspond to the Prioria s.s., Hardwickia, Hymenaea, Eperua s.s. and Detarium clades.

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)0.001
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.428
GPT teacher head0.239
Teacher spread0.190 · 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

Citations30
Published2007
Admission routes1
Has abstractyes

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