Monitoring Genetically Modified Rice Using Multiplex PCR Coupled with Universal DNA Microarray
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".