The effects of water temperature on fatty acid content in the diatom, navicula pelliculosa
Bibliographic record
Abstract
Algae are critical to aquatic ecosystems and provide nutritious food to primary consumers due to their ability to synthesize essential fatty acids, in particular, long-chain polyunsaturated fatty acids (LC-PUFA). Aquatic ecosystems are experiencing increases in surface water temperatures as a result of anthropogenic climate change. Elevated water temperatures can potentially cause thermal stress for algae and disrupt critical physiological and biochemical mechanisms. As a response to temperature changes, fatty acid composition in membranes shifts in order to maintain membrane fluidity. To gain a better understanding of how elevated temperature influences fatty acid composition, growth experiments of a cosmopolitan freshwater diatom species, Navicula pelliculosa, were performed in a temperature-controlled laboratory environment. Diatom cultures were grown under different thermal regimes to examine the effects of temperature and time on LC-PUFA content. Temperature treatments were found to elicit an asymmetrical response in FA content, potentially resulting in reduced LC-PUFA availability.
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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".