Data for deJonge et al. - Characterizing an invasion assemblage: first comparison of insect communities on native and introduced subspecies of Phragmites australis in Ontario, Canada
Bibliographic record
Abstract
Data for deJonge et al. publication "Characterizing an invasion assemblage: first comparison of insect communities on native and introduced subspecies of Phragmites australis in Ontario, Canada". Data are produced from a 2016-2017 survey of 28 geographically paired sites across Ontario, Canada containing introduced Phragmites australis ssp. australis or native Phragmites australis ssp. americanus. The dataset includes for each site basic descriptions of site characteristics (e.g., latitude, stem density), the stem attack rate (% of live stems containing at least one insect) of fourteen insect taxa, and alpha-diversity indices calculated from the attack rates ("FullSiteData" tab). It also includes basic presence and absence data for each taxon across the fourteen sites of each subspecies ("Presence-AbsenceData" tab), and paired differences between native and introduced sites in alpha- and beta-diversity indices, and stem attack rates by taxon ("PairedData(Native-Introduced)" tab).
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.032 |
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".