Bibliographic record
Abstract
Crayfish are the third most imperiled organism in the United States and reach their peak global endemism in the Appalachians mountains. Crayfish are not only vital ecosystem engineers, but also keystone species that hold aquatic communities together. Despite this, life history data for these creatures is sorely lacking. As of 2013 only 42 of the 347 species (12%) of the crayfish in the U.S. and Canada have published life history studies, and only 9 of the 97 species (9%) in the genus Cambarus have published life history studies (Moore, et al. 2013). Cambarus carinirostris is a widespread secondary burrowing crayfish with an unknown life history. Herein this project we plan to conduct a full and precise life history study on this species that can be utilized for various conservation implications as well as serve as a surrogate for a secondary burrowing crayfish that needs immediate conservation actions. Moore, M. J., Distefano, R. J., & Larson, E. R. (2013). An assessment of life-history studies for USA and Canadian crayfishes: Identifying biases and knowledge gaps to improve conservation and management. Freshwater Science, 32(4), 1276–1287. https://doi.org/10.1899/12-158.1
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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".