Environmental biosafety of genetically engineered camelina [Camelina sativa (L.) Crantz.] for use as a bio-product crop
Bibliographic record
Abstract
Camelina is currently being evaluated as bioindustrial platform crop on the Canadian Prairies. Prior to unconfined release of genetically engineered (GE) camelina, an environmental risk assessment must be conducted. Camelina pollen-mediated gene flow (PMGF) was assessed using a dominant DsRed seed-expressed transgene in small and large plot experiments. Intraspecific small plot PMGF examined approximately 8 M seeds. Outcrossing was low, ranging from 0.09 to 0.28% at up to 0.6 m distance. Large plot assessment screened over 19 M seeds and detected a maximum PMGF of 0.78% immediately adjacent to the pollen source. However, PMGF rapidly declined by 99% at 9.99 m (± 0.18 m) from the pollen source with rare events (≤ 0.001%) at 20 m. Interspecific PMGF to weedy relative shepherd’s purse was examined under greenhouse and small plot conditions. Zero hybrids were detected in 103,000 and 30,000 seeds respectively which corresponds to PMGF at or below 0.1 and 0.025%. Camelina is self-fertile with a low propensity for interspecific gene flow that should not constrain novel cultivar development. A study of camelina seed-mediated gene flow quantified seed bank inputs, longevity, and emergence in growers fields. Seed losses incurred at harvest were high and variable (1,202 to 43,430 viable seeds m-2). Seed banks became 99% depleted within 15 months. In the year following production, camelina volunteer populations were initially high (1,208 plants m-2) but declined to nearly extinct (0.6 plants m-2) by two years post-production. While seed bank inputs can be high, camelina’s brief persistence limits weediness in agricultural areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".