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Record W2388449732

Construction and Characterization of Enriched Microsatellite Library from Rehmannia glutinosa

2013· article· en· W2388449732 on OpenAlexvenueno aff
Hongwei Wang

Bibliographic record

VenueSeed · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
Fundersnot available
KeywordsMicrosatelliteBiologygenomic DNAGeneticsDNAMolecular biologyOligonucleotideDNA sequencingGene
DOInot available

Abstract

fetched live from OpenAlex

The DNA fractions containing microsatellite sequences were captured by hybridizating the digested Rehmannia glutinosa genomic DNA fragments with the oligonucleotide probes(AC)8,(AG)8 and(ATG)12 attached to striptavadin coated magnetic beads(Dynal).The enriched DNA fragments were ligated into pMD 18-T easy vector and then transformed into competent Trans 5 αcell to form an enriched microsatellite sequence library.PCR screening using M 13 Forward and M 13 Reverse as primers identified 96 clones containing 400-800 bp inserts.Sequence analysis of these positive clones confirmed 48 microsatellite sequences,with an enrichment efficiency of 50%.Of these microsatellite loci,66% were perfect repeat motif,22% imperfect and 12 compound repeat motifs.(AC)n and(CAT)n was the most common motif.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.004
GPT teacher head0.177
Teacher spread0.173 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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