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Record W2351364084

The Optimization of RAPD-PCR System of Hopea chinensis

2013· article· en· W2351364084 on OpenAlexvenueno aff
Huang Shixun

Bibliographic record

VenueSeed · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRAPDDNAPrimer (cosmetics)Biologygenomic DNADenaturation (fissile materials)ChromatographyChemistryMolecular biologyBiochemistryNuclear chemistry
DOInot available

Abstract

fetched live from OpenAlex

To optimize the RAPD reaction condition for Hopea chinensis genomic DNA,the concentrations of MgCl2,dNTPs,Taqpolymerase,primers and template DNA were studied,and the optimal anneal temperature of primer and cycles were determined through gradient PCR.The optimal PCR system for RAPD analysis was 1 × PCR buffer,3 mmol / L MgCl2,0.2 mmol/LdNTPs,0.5 U/25 μL Taqpolymerase,0.4 μmol/L primer,5 ng/μL template DNA in 25 μL reaction solution.And the augmentation procedure was pre-denaturation at 94 ℃ for 5 min,denaturation at 94 ℃ for 1 min,annealing at 35 ℃ for 1 min,extension at 72 ℃ for 1.5 min,reaction with 35 cycles,and extension at 72 ℃ for 7 min.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.083

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 head0.016
GPT teacher head0.197
Teacher spread0.181 · 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
Published2013
Admission routes1
Has abstractyes

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