Species: Yellow Lampmussel (Lampsilis cariosa) Global Rank: G3G4 State Rank: S3S4 State Wildlife Action Plan Priority: Immediate Concern Species CCVI Rank: Highly Vulnerable Confidence: Very High Habitat:
Bibliographic record
Abstract
Yellow lampmussels can be found in different aquatic habitats but appear to prefer the shifting sands downstream from large boulders in relatively fast flowing, medium to large streams and medium-sized rivers (Spoo 2008; NatureServe 2010). This species has a large geographic range, from Nova Scotia to Georgia in Atlantic drainages, and in the St. Lawrence River system westward to Ontario. While many historic occurrences are extirpated, the species still occurs in numbers in a few places, and the wide range is actually represented by several disjunct populations (NatureServe 2010). Current Threats: A major cause of the decline of freshwater mussels during the last century is the degradation and destruction of habitat by siltation, dredging, channelization, impoundments, and pollution (NYNHP 2010). Declining water quality and the introduction and establishment of zebra mussels have also contributed to the dramatic decline in mussel populations (Nalepa and Schloesser 1993; Metcalfe-Smith et al. 2000,
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.041 | 0.015 |
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".