Characterization of the summer pack ice biotic community of Canada Basin
Bibliographic record
Abstract
Summer pack ice biotic community of the Canada Basin was characterized during the Second Chinese National Arctic Research Expedition (CHINARE-2003, 20 August-5 September 2003). Bacteria, ice algae (diatoms and autotrophic flagellates) and protozoa (mainly heterotrophic flagellates) were observed throughout the whole ice column. The vertical distribufon of biotic taxa varied among sites.The integrated biomass ranged from 48.4 and 58.1 mg/m2, with an average of 55.2 mg/m2. Bacteria were the dominant of the assem-blage in pack ice, accounted for 84.1% of the integrated, and ice algae, which usually dominate the ice biotic community, constituted only 3.5% of the total. Considering the quick environmental changes of the Arctic Ocean in recent years, we suggested that quick melting of pack ice in summer was suggested, which caused such change of pack ice biotic community. The low salinity throughout the whole ice column and the continuous melting of the pack ice cumbered the formation of ice algae bloom in summer, finally resulting in the dominance of microbial food web with bacteria and heterotrophic flagellates as the most obvious characteristics. Considering the high ratio of pack ice primary production to the total found in previous studies, the quick change of pack ice community structure in summer would deeply influence the marine ecosystem of the high Arctic Ocean.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".