Life History Traits Conferring Larval Resistance against Ocean Acidification: The Case of Brooding Oysters of the Genus Ostrea
Bibliographic record
Abstract
As oceans and many estuaries become more acidic, identifying adaptable or nonadaptable species (“winners” or “losers”) will enable better predictions of community and ecosystem function alterations due to climate change. Marine bivalves are frequently subjects of ocean acidification (OA) research because of their perceived vulnerability, which also threatens loss of their valuable ecosystem services. Studies indicate that larvae of many broadcast spawning oyster and mussel species are physiologically sensitive to alterations in carbonate chemistry. Running counter to this trend are recent investigations of brooding oyster species (genus Ostrea) that suggest their offspring may be considerably more resistant to OA stress. Although the precise mechanism conferring OA resistance to Ostrea larvae is unknown, a strong candidate appears to be exaptation of traits developing embryos that require to cope with adverse carbonate conditions they typically encounter in the brood chamber. New and previously reported data on Ostrea brood chamber conditions are discussed in the context of OA. Novel technical and experimental approaches are offered to address current knowledge gaps in future studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".