Effects of bleaching and nutrient supplementation on wet weight in the jellyfish<i>Cassiopea xamachana</i>(Bigelow) (Cnidaria: Scyphozoa)
Bibliographic record
Abstract
Cassiopea xamachana were bleached by elevated temperature or held in complete darkness. Wet weight was measured over several weeks in bleached and unbleached individuals with or without addition of dissolved organic matter (DOM) and/or particulate organic matter (POM) in a three-factor experiment. Wet weight decreased to a greater extent in temperature-bleached individuals compared to unbleached individuals. Bleaching by darkness produced differences that took longer to manifest themselves compared with temperature bleaching suggesting more than just loss of photosynthetic capability results from heat bleaching. No differences were found between jellyfish based on DOM and/or POM treatments. Heat stress combined with loss of zooxanthellae negatively effects C. xamachana over short time spans indicating the potential for this species to be impacted by natural bleaching events. Cassiopea xamachana could also be a useful model for further study of the effects of bleaching and the recovery.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".