Genetic data facilitate research into a widespread and invasive cattail (Typha × glauca) hybrid zone in North America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Genetic data can provide insights into the evolutionary ecology of hybrid zones and may be particularly important for investigating widespread and cryptic hybrids. In North America an expansive hybrid zone comprises the cattails Typha latifolia, T. angustifolia, and their hybrid T. × glauca. This hybrid is a problematic wetland invader that alters ecosystem functioning and reduces biodiversity. It is fertile and produces both backcrossed and advanced-generation hybrids, leading to morphological overlaps with parent species; therefore, genetic data are necessary for understanding the dynamics of this hybrid zone. In this review we summarize some of the ways in which genetic data have helped us to understand this hybrid zone, including the distributions of parent species and hybrids; symmetrical and asymmetrical hybrid crosses; the prevalence of different hybrid classes; hybrid fitness and hybrid breakdown; and gene flow and genetic diversity. We end by identifying some knowledge gaps and future research directions that can help us to further understand what may be the most widespread hybrid macrophyte in North America.
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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 | 0.000 |
| 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 | 0.000 |
| 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 | 0.001 |
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 it