Seasonal Abundance of Different Chlorella Viruses in Two Contrasting Freshwater Environments in Ontario, Canada
Bibliographic record
Abstract
The aims of this study were to identify Chloroviruses in two different Ontario freshwaters and to determine if the seasonal abundance patterns of Chloroviruses in different environments are similar. Gene fragments nearly identical to cultivated Chloroviruses were obtained from Lake Ontario and a nearby pond at the University of Toronto Mississauga (UTM) and novel Chlorovirus gene fragments were obtained from Lake Ontario. Quantification of these two Chlorovirus genes over several seasons revealed the presence of persistent viruses with different seasonal dynamics suggesting that different Chloroviruses replicate by infecting different hosts. Additionally, patterns of seasonal abundance and timings of peak abundances for individual viruses differed between Lake Ontario and the UTM pond, demonstrating the critical role of the environment in Chlorovirus dynamics. The observation of different Chloroviruses with different seasonal dynamics allows speculation that these viruses and their hosts stably coexist in Ontario freshwater environments.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".