Species: Toothcup (Rotala ramosior) Global Rank: G5 State Rank: S3 Climate Change Vulnerability Index: Not Vulnerable/Presumed Stable Confidence: Moderate Habitat:
Bibliographic record
Abstract
Toothcup occurs throughout most of the United States and in southern Canada (NatureServe 2010). Toothcup is typically found in early successional wet habitats such as mudflats and lake, pond, and reservoir shores and almost always on newly exposed shores following water drawdowns (Mattrick 2001). Current Threats: Toothcup is threatened by alterations to hydrologic regime and displacement by exotic plant species. Main Factors Contributing to Vulnerability Rank: Although toothcup may be sensitive to certain climate change related factors addressed in the CCVI, such as changes in moisture regimes, results from the CCVI suggest that the species is Not Vulnerable/Presumed Stable. Available evidence does not suggest that abundance and/or range extent within Pennsylvania will change substantially by 2050 although actual range boundaries may change. Multiple vehicles for dispersal (e.g., wind, gravity, water, and the feet of waterfowl) and a preference towards warmer environments are characteristics that contribute to the short-term climate change
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.053 | 0.019 |
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".