Planktonic diatom communities in High Arctic lakes (Store Koldewey, Northeast Greenland)
Bibliographic record
Abstract
This contribution documents with light micrographs the planktonic diatom flora in seven high arctic lakes on Store Koldewey, an island off Northeast Greenland. The lakes have maximum water depths between 6.1 and 72.0 m. Basic limnological analyses indicate that all lakes are cold, monomictic, clear, oligotrophic, and alkaline. Planktonic diatoms and chrysophyte statospores were present in all but one lake. Eight planktonic diatom taxa were identified in the phytoplankton samples: Aulacoseira islandica (O. Müller) Simonsen, Aulacoseira tethera Haworth, Aulacoseira sp. 1, Cyclotella antiqua W. Smith, Cyclotella pseudostelligera Hustedt, Cyclotella rossii Håkansson, Fragilaria tenera (W. Smith) Lange-Bertalot, and Stephanodiscus minutulus (Kützing) Cleve et Möller. Fragilaria tenera was present in two morphotypes; the "normally shaped" type and a type with abnormally shaped valves, which has mostly been recorded in metal-polluted lakes. The diatom communities were generally dominated by only one or two species. The water columns of the lakes with a water depth greater than 10 m accomodate a moderate to high proportion of primarily benthic diatoms.Key words: Greenland, High Arctic, limnology, diatoms, valve morphology.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".