Genetic diversity of Gleditsia triacanthos, honey locust across its North American range.
Bibliographic record
Abstract
My general objective was to assess the nature and extent of genetic diversity within and among thirteen populations of the native North American dioecious tree, Gleditsia triacanthos located in northern, southern, western and central portions of the species' range of distribution using leaf tissue samples collected from all populations. I investigated genetic diversity using Random Amplification of Polymorphic DNA. To measure genetic differentiation I used several statistics, including Shannon's index of diversity, Wright's fixation index, Nei's genetic distance, and indirect gene flow. To compare samples I used Analysis of Molecular Variance. Results indicate a high percentage of polymorphic loci per population. Relatively high levels of variation are evident within populations, but low levels among populations. Results of regional comparisons indicate higher levels of genetic variation within regions than among regions. In periphery, higher levels of gene flow and less genetic differentiation are present compared with the center of the range. No specific bands are found to distinguish categorically between female and male individuals. Results assessing the patterns of genetic variation among thorned and thornless individuals show no significant differences between groups.Dept. of Biological Sciences. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .H35. Source: Masters Abstracts International, Volume: 45-01, page: 0223. Thesis (M.Sc.)--University of Windsor (Canada), 2006.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".