Invasive Diatom Species in Sinking Material of the Lofoten Basin (the Norwegian Sea)
Bibliographic record
Abstract
Abstract The invasive diatom species in sinking material of the Lofoten Basin of the Norwegian Sea have been studied in detail for the first time. The material was collected from sediment traps monthly during a year (2017–2018). A total of eleven invasive diatom species were identified; the predominant were Fragilariopsis oceanica, Podosira glacialis, Thalassiosira antarctica, Neodenticula seminae, Shionodiscus oestrupii, etc. Multivariate analysis has shown a reliable relationship between the within-year variability of vertical fluxes of invasive diatom species and the contents of N, P, POC and the Si/Al ratio in the sinking material. The appearance of the North Pacific planktonic species Neodenticula seminae in the Lofoten Basin sinking material is related to the transport of warm North Atlantic water masses from the Labrador Sea. The periodical increase in the number of sea-ice and ice-neritic species in the Lofoten Basin (the insignificant increase from October to December and more significant from March to April) is related to the course of seasonal variability of the sea ice cover in the Arctic Ocean and sea ice export through the Fram Strait into the North Atlantic.
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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 | 0.000 | 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) | 0.001 | 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".