Temporal distribution of the archaeal community in the Changjiang Estuary hypoxia area and the adjacent East China Sea as determined by denaturing gradient gel electrophoresis and multivariate analysis
Bibliographic record
Abstract
The archaeal community and the effects of environmental factors on microbial community distribution were investigated at five sampling sites in the Changjiang Estuary hypoxia area and the adjacent East China Sea in June, August, and October 2006. Profiles of the archaeal communities were generated by denaturing gradient gel electrophoresis of 16S rRNA genes followed by DNA sequence analysis, and the results were analyzed by multivariate statistical analysis. Denaturing gradient gel electrophoresis band patterns were analyzed by cluster analysis to assess temporal changes in the genetic diversity of the archaeal communities. Most of the October samples grouped together separately from those of June and August. Analysis of DNA sequences revealed that the dominant archaeal groups in the Changjiang Estuary hypoxia area and the adjacent East China Sea were affiliated with Euryarchaeota (mainly marine group II) and Crenarchaeota. The effects of environmental factors on the archaeal community distribution were analyzed by the ordination technique of canonical correspondence analysis. Salinity had a significant effect on the archaeal community composition.
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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".