DIATOMS FROM THE SURFACE SEDIMENTS OFF WEST GREENLAND AND THEIR RELATIONSHIP TO SEA-ICE COVER
Bibliographic record
Abstract
Canonical correspondence analysis(CCA) of diatoms from 35 surface sediment samples and average monthly sea-ice cover values for 12 months shows that April,October and December are the main environmental factors affecting diatom distribution off West Greenland.Four diatom assemblages are distinguished based on scores of species and samples on the CCA ordination diagram.The warm water species are mainly found in the Labrador Sea where the va-lue of monthly sea-ice cover is low.Davis Strait is characterized by relatively high proportions of the arctic and cold water species.The sea-ice species become abundant,corresponding to high December sea-ice cover values in Baffin Bay.The high proportions of the sea-ice species,arctic and cold water species coincide with high values of October sea-ice cover in Disko Bugt.
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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 | 0.000 | 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) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".