Bacterial diversity within the planktonic community of an artesian water supply
Bibliographic record
Abstract
Culture and molecular methods were used to describe the planktonic bacterial diversity of an artesian water supply in rural Latah County, Idaho, within the drainage of a small perennial stream, Thorn Creek. The surrounding depth to groundwater at this location is thought to be significant (>100 m), and this transitional zone (basalt-granite) of the Palouse aquifer system is little studied. The water produced by this artesian source is consistent even in years of drought and is of high quality, both mineralogically and microbiologically. A culture-based analysis using 30 media types and four incubation temperatures demonstrated that several metabolic types were present in the water. 16S rRNA gene fragments amplified from the DNA of pooled cultured cells and from the DNA extracted from 1 L of the source water were compared using denaturing gradient gel electrophoresis. The results indicated that the two DNA samples did not have similar 16S rRNA gene compositions and that several uncultured phyla were present in the community DNA sample. These results indicated that large-scale culturing did not accurately represent the structure planktonic community. 16S rRNA gene sequences from 17 different genera were obtained from the community DNA sample; the most abundant were similar to Rhodoferax, Rhodobacter, and Polaromonas species. Sequences related to the Proteo bacteria, Bacteroidetes/Chlorobi, Firmicutes, and Acidobacterium/Fibrobacter divisions were also detected.
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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 | 0.001 | 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".