MétaCan
Menu
Back to cohort
Record W5024890 · doi:10.1093/jaoac/91.1.143

Event-Specific Qualitative and Quantitative Polymerase Chain Reaction Methods for Detection of Genetically Modified Rapeseed Ms8Rf3 Based on the Right Border Junctions

2008· article· en· W5024890 on OpenAlexaboutno aff
Gang Wu, Yuhua Wu, Ling Xiao, Changming Lu

Bibliographic record

VenueJournal of AOAC International · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsRapeseedGenetically modified organismPolymerase chain reactionEvent (particle physics)Real-time polymerase chain reactionComputational biologyBiologyGeneticsGenePhysicsBotany

Abstract

fetched live from OpenAlex

Ms8xRf3 is a genetically modified rapeseed hybrid which is widely cultivated in Canada and exported to some other countries for production of foodstuffs or fodder. In this study, the genomic sequences flanking the right borders of the integrated transgenic sequences in the Ms8xRf3 genome were characterized and showed high similarities with the bacterial artificial chromosome clone of Chinese cabbage. Event-specific qualitative polymerase chain reaction (PCR) methods were established with the primers and probes targeting the junction regions to produce a 123 base pair (bp) product for the Ms8 event and 92 bp for the Rf3 event. The absolute detection limit of qualitative PCR was 2.5 initial template copies for the Ms8 event and 50 copies for the Rf3 event. Quantitiative detection methods were established, with the absolute quantification limit being approximately 25 initial template copies.

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)0.004
metaresearch head score (Gemma)0.004
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: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.039
GPT teacher head0.376
Teacher spread0.336 · 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
GenreMethods

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

Citations12
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of AOAC InternationalSame topicRNA and protein synthesis mechanismsFrench-language works237,207