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Characterization of microsatellite loci for a barrenwort species (<i>Epimedium diphyllum</i>, Berberidaceae)

2007· article· en· W2056382597 on OpenAlexaff
Sachiko Horie, Kazuo Suzuki, Masayuki Maki

Bibliographic record

VenueMolecular Ecology Notes · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicMedicinal Plant Pharmacodynamics Research
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsEpimediumBerberidaceaeMicrosatelliteBiologyLocus (genetics)Threatened speciesLoss of heterozygosityGenetic diversityTaxonPopulationBotanyZoologyEvolutionary biologyAlleleTraditional medicineGeneticsEcologyGeneMedicineMedicinal herbs

Abstract

fetched live from OpenAlex

Abstract Microsatellites were identified and characterized from Epimedium diphyllum , a species of barrenworts, both attractive garden plants and valuable medicinal plants. Some Japanese species of Epimedium are threatened with extinction, and are listed in the Red Data Book of plants in Japan. Natural hybrid zones also have been reported among some taxa of Japanese Epimedium . We developed eight polymorphic microsatellite primers for population genetic analyses of E. diphyllum . The numbers of alleles per locus ranged from 10 to 20, with observed levels of heterozygosity between 0.85 and 1.00. These primer sets yielded amplification in the other three Japanese Epimedium . These markers will be valuable for conservation genetics, evolutionary biology, pharmacognostic study, and horticultural study of Epimedium .

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.067
GPT teacher head0.412
Teacher spread0.345 · 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.

Study designBench or experimental
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

Citations1
Published2007
Admission routes1
Has abstractyes

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