Dependencies of food web and nutrient cycling dynamics on dissolved organic matter (DOM) and inorganic nutrient concentrations in lake enclosures.
Bibliographic record
Abstract
An autotrophic-allotrophic gradient was established in 12 lake enclosures across a natural DOM concentration gradient. Phytoplankton were co-regulated by solar irradiance and inorganic nutrient concentrations, whereas bacterioplankton were strongly dependent on DOM in the reference enclosures. Nutrient scavenging in the reference enclosures was limited by efficient biotic incorporation and recycling, across the full DOM gradient. Nutrient enrichment stimulated a strong autotrophic response across the autotrophic-allotrophic gradient due to increased phytoplankton productivity. Bacterioplankton productivity was still strongly dependent on DOM, but bacterioplankton productivity also increased either as a direct or indirect result of nutrient enrichment. Carbon, nitrogen, and phosphorus were effectively scavenged from the water column by incorporation into biomass at high rates and then deposited in the sediments in the nutrient enriched enclosures, producing nutrient-rich sediments. The data further suggest that at DOM concentrations greater than 14 mg L -1, allotrophy would dominate regardless of inorganic nutrient enrichment.
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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) | 0.000 | 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 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".