Diversity of bacterial community during spring phytoplankton blooms in the central Yellow Sea
Bibliographic record
Abstract
Bacterial community diversity and the effects of environmental factors on bacterial community composition during 2 spring phytoplankton blooms in the central Yellow Sea were investigated by using denaturing gradient gel electrophoresis (DGGE) and multivariate statistical analysis. The Shannon-Weaver indices (H') of bacterial diversity from samples at station B23 were higher than those at station B20. Cluster analysis based on DGGE band patterns indicated temporal variations of bacterial community at the 2 bloom stations but a vertical distribution pattern only at station B20. The predominant bacterial groups were affiliated with Alphaproteobacteria, Gammaproteobacteria, Cytophaga-Flavobacterium-Bacteroides, Deltaproteobacteria, and Actinobacteria. The effects of environmental factors on bacterial community were analyzed by canonical correspondence analysis. Bacterial community structures were significantly affected by silicate at station B20 and by Paralia sulcata and Heterocapsa spp. at station B23. From the results, phytoplankton species composition had a significant effect on bacterial community structure during phytoplankton blooms in the central Yellow Sea.
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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) | 0.000 | 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".