Bibliographic record
Abstract
Groundwater is an essential part of everyday life, serving as agricultural irrigation, supporting numerous industrial processes, and providing drinking water for many. It is also home to a diverse range of unexplored microbial communities. This is especially true in Alberta, Canada, due to the rich geological history of the region and the close proximity of aquifer locations to areas ranging from oil sand-rich to agricultural to populous cities. Through collaborations with the Environment and Protected Areas division of the Alberta government we have access to more than 250 wells throughout the province, 25 of which were selected for metagenomics analysis. More than 750 metagenome-assembled genomes were recovered and coupled with historic geochemical, isotopic, and dissolved gas data, allowing us to interpret the lifestyles of microbial communities inhabiting Alberta groundwater. Results show a strong presence of organisms involved in C1-cycling, indicative of a productive subsurface environment, as well as members belonging to the Candidate Phyla Radiation (CPR). We explore likely roles of CPR, including their potential for ecological interactions via secondary metabolites. This research shows that Alberta groundwater is home to diverse, productive microbial communities that have the capacity to further our knowledge in microbial ecology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".