Reproductive Output by Garlic Mustard Populations
Bibliographic record
Abstract
Garlic mustard (Alliaria petiolata) is an invasive species originating in Europe and Asia that was introduced to the United States in the 19th century. Since then, it has been found around the east coast and up to Canada. This study aims to determine the reproductive output of garlic mustard by measuring total plant mass, seed mass, percent seed mass per plant, and estimated seed output from four sites in New York. Two were located on Purchase College Campus in Westchester (Westchester 1, Westchester 2), the other two were located upstate near Woodstock, New York (Catskills 1, Catskills 2). Twenty five plants from each location were collected, weighed, and had their seeds extracted and weighed. Five random seed samples from each site were selected with fifty seeds weighed from each to get average seed mass per site. Research demonstrated the Catskills sites being favored for greater plant mass, seed mass, and seed count, however, site Westchester 2 demonstrated most efficient seed output for its plant mass, despite being the lowest in plant mass and total seed mass. This indicates a trade off between total seed output and resource use efficiency, possibly due to environmental factors. More studies are needed to determine causes for garlic mustard favoring the Catskills sites and resource usage.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".