Phototrophic bacterioplankton of four stratified boreal ferruginous lakes of the Northern Hemisphere: comparative analysis of vertical 16S rRNA profiles
Bibliographic record
Abstract
The aim of the study was to analyze the phototrophic bacterioplankton composition and vertical structure of Lake Linevo, a polyhumic iron-rich lake in the Raifa section of the Volga-Kama Nature Reserve (Tatarstan, Russia), and three other ferruginous boreal lakes in Russia, Finland, and Canada. The results demonstrated the presence of identical phylogenetic groups and dominant operational taxonomic units, but the inntensity of development and overall structure of the phototrophic bacterioplankton community was nevertheless different. Highest abindance was detected in Lake Linevo which had a number of unique features when compared to the other studied lakes. In particular, it had the largest number of phototrophic bacteria and a significant abundance and diversity of phototrophic Chloroflexales that were scarce in the other lakes. It seems desirable to further characterize the oxygen-depleted zone of this lake in more detail and, if possibly, to apply metagenomic and whole-genome analysis methods that have already been used in lakes Lovojärvi and L227 as well as many other boreal brown-water lakes.
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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 | 0.000 |
| 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) | 0.000 | 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".