Limnology of Pavilion Lake, B. C., Canada Characterization of a microbialite forming environment
Bibliographic record
Abstract
The objectives of this study are two-fold: (1) to describe and quantify the seasonal physical and chemical limnological properties of Pavilion Lake, a microbialite-rich lake in British Columbia, Canada, and (2) to gain a broader limnological context of Pavilion Lake by examining the limnology and hydrology of the lakes and groundwater systems in the area (30 km radius). Pavilion Lake is a dimictic lake with annual ice-cover. It is a hard water (mean CaCO 3 = 181.8 mg L -1), ultra-oligotrophic (mean Total Phosphorus [TP] = 3.3 g L -1) lake, that is groundwater fed most likely through diffuse, low velocity local and regional sources. Principal Components Analysis (PCA) separated Pavilion Lake from the other groundwater, stream and lake samples along a conductivity and pH gradient on Axis 1 ( 1 =0.392), and a nutrient (Total Nitrogen [TN], TP) and K +, Mg 2+, Si gradient on the second axis ( 2 = 0.160). Pavilion Lake has the lowest Ca 2+ and TP concentrations, and the highest Na + concentrations and optical transmissivity amongst all sampled sites. Furthermore, the lake is characterized by low sedimentation rates. These characteristics are potentially important factors in supporting the past and on-going development of microbialites within the lake. Our study provides a limnochemical reference to consider in the conceptualization of ideal environments supporting large-scale microbialites. E. Schweizerbart'sche Verlagsbuchhandlung 2009.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 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".