Evaluating the Genetic Structure of Camissoniopsis cheiranthifolia in California Dune Restorations
Bibliographic record
Abstract
Habitat loss and fragmentation is considered the largest cause of decreasing biodiversity. Previously, preservation was the main method of mitigating the human impact; however, with decreasing pristine habits, there has been a shift towards ecological restoration. The California coastal dunes have been the sites of many restorations. One native species that has been planted in restorations is the iconic beach evening primrose (Camissoniopsis cheiranthifolia). With a distinct floral variation across its range, C. cheiranthifolia seeds must be carefully sourced when restoring dunes. But has it? I evaluated 22 restored site and 12 natural sites by collecting tissue samples, floral measurements, and fruit counts. Using DNA and floral markers, it is possible to determine whether large flowers from the south have been planted in the north or vice versa. The DNA markers can even determine if individuals of the same flower size have been used outside of their populations. I used fruit counts as an indicator of fitness, which will allow me to be able to determine whether restorations using non-local plants are detrimental to the plants’ well-being. I expect to find mismatches in both DNA and floral markers in restoration sites compared to local natural sites accompanied by a decrease in fitness. Hopefully, the results of this study will allow for stricter regulations on sourcing of restoration material.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".