Data from: Lythrum salicaria common garden under Neogalerucella herbivory
Bibliographic record
Abstract
We transplanted1088 seedlings of the invasive perennial plant Lythrum salicaria (purple loosestrife), from 136 maternal families sourced from 17 populations in the region around Ottawa, Canada, into a common garden containing 4 plots. The 17 populations differed in their prior exposure to the biocontrol agent Neogalerucella spp. leaf beetles (naïve = no prior exposure; recent = secondary colonization, ~5-15 years; release = sites of biocontrol release, ~20 years ago). Plants were planted in a wetland containing other Lythrum plants and experienced ambient (but significant) herbivory by Neogalerucella spp. leaf beetles. We measured herbivory, plant size and biomass over a period of 3.5 years; see the publication for more details. This experiment used the same seed material as a previously published greenhouse study by Stastny & Sargent 2017 (see below). Additional datasets, such as the proportion and phenology of flowering individuals, leaf size, stem and meristem numbers, etc., are available upon request.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.033 |
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".