Intracellular nutrient storage during ice algal spring blooms in the Canadian high Arctic
Bibliographic record
Abstract
Nutrient availability influences maximum biomass, speciation, cellular composition, and overall phenology of Arctic spring ice algal blooms. However, how ice algae obtain nutrients from their environment is not well understood. Previously documented positive relationships between sea ice nutrient concentrations and algal biomass implied that ice algae maintain an intracellular nutrient pool. Here, we provide direct evidence that sea ice diatoms store intracellular nitrate + nitrite and silicic acid well above that available in their ambient environment. Differential retention of intracellular pools released during standard melt processing techniques led to an increase in the apparent dissolved N:Si ratio measured in ice melt samples that likely influenced interpretations of Si-limitation in some previous studies. It is hypothesized that the ability of ice algae to store intracellular nutrient reserves represents a beneficial adaptation for ice algae to extend blooms under a periodic tidal-pulsed flux of nutrients to the ice bottom environment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".