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Record W4249705990 · doi:10.13188/2469-4185.1000019

Monitoring Genetically Modified Rice Using Multiplex PCR Coupled with Universal DNA Microarray

2016· article· en· W4249705990 on OpenAlexfundno aff
Xiaolei Liu, Sheng-Ying Qin, Hui Wang, Yingying Le

Bibliographic record

VenueJournal of Nutrition and Health · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
FundersInstitute of GeneticsYangzhou UniversityZhejiang UniversityInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences
KeywordsMultiplexMultiplex polymerase chain reactionComputational biologyBiologyMicroarrayDNAGenetically modified organismMolecular biologyGeneticsPolymerase chain reactionGeneGene expression

Abstract

fetched live from OpenAlex

We developed a multiplex polymerase chain reaction (PCR) coupled with ligation detection reaction and universal array system for screening genetically modified rice and further identifying specific transgenes in rice. Three common elements in transgenic rice (CaMV 35S promoter, FMV 35S promoter and nos terminator) with species and internal controls (rice actin, 18S rRNA) were used for screening transgenic rice from un-transgenic rice. Seven event-specific elements (Cpt1, Bt, Irp, Bar, OsVTE1, Xa21 and RCH10) were used for identifying specific transgenes in rice. This method was demonstrated to be effective and high throughput for the detection of transgenic rice. It can be applied not only for detecting commercial transgenic rice, but also for monitoring unauthorized transgenic rice.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.218

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 head0.059
GPT teacher head0.319
Teacher spread0.261 · 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 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
Published2016
Admission routes1
Has abstractyes

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