The distribution and morphometry of lakes and reservoirs in British Columbia: a provincial inventory
Bibliographic record
Abstract
An inventory of provincial lakes and reservoirs has been developed to characterise and assess the distribution and morphometry of standing water bodies in British Columbia. In the province, there are over 241,500 lakes and reservoirs greater than 1,000 m 2 in size. These water bodies cover 2.37 percent of the province area and contain an estimated 521 km 3 of water (312 km 3 in natural lakes and 209 km 3 in reservoirs). A hypsometric relation suitable for order‐of‐magnitude estimates of lake volume from lake area is presented. Based on the distribution and morphometric attributes of lakes, several distinctive limnologic regions were identified, including the northeastern Alberta Plateau (highest proportion of circular lakes), the southwestern Alberta Plateau (lowest lake density/coverage and highest proportion of irregularly shaped lakes) and the Milbanke Strandflat (highest density of lakes). Observed regional and scale‐related patterns in lake distribution/morphometry appear to be largely related to geomorphic controls, particularly tectonic and glacial history. Large‐scale hydrologic implications of these standing water bodies and potential ecosystem/water resource management applications of the provincial inventory are also discussed.
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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 | 0.005 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".