and Assiniboine River Water Levels
Bibliographic record
Abstract
peaked in late July, 2011 although a significant windstorm on May 31 caused even higher wind affected water levels on the south basin of the lake. It was during this storm event that many homes and cottages in the south basin of the lake were destroyed or damaged. The topographic features of the lower Assiniboine River are noteworthy because they have consequences during large flood events. Historic floods have resulted in water overflowing the low banks of the river and spreading out across the prairie, often inundating large areas of land. After the last ice age, from Portage la Prairie downstream, the Assiniboine River built an alluvial fan, a collection of channels built by the river depositing sediment as it descends to the lower level of the glacial Lake Agassiz plain. The river in this stretch is unstable since portions of the riverbed are perched above the elevation of the surrounding land. As a result, the river has changed its course numerous times over the past millennia, abandoning its channel in favour of lower, more stable routes, which are later abandoned. The former channels, called paleochannels, radiate in an arc of 180 degrees with some flowing north to end in Lake Manitoba and others continuing east to join the Red River. These channels play a significant role during flood events because, when the river overflows its banks, the paleochannels convey a portion of the overflows downstream to neighbouring watersheds.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".