Surficial materials of the Virden area, Manitoba and Saskatchewan
Bibliographic record
Abstract
The Virden area study is part of the Southern Prairies NATMAP Project. In general, the area is flat and characterized by thick drift. Surface materials consist of till, clay, silt, sand, and gravel. The thickness of drift varies from as little as 1 m, where a single till sheet overlies bedrock, to more than 100 m in buried valleys and where multiple till units are present. During the last glaciation, ice movement was generally towards the southeast. During ice retreat, several glacial lakes formed at the margin of the retreating ice, and a number of catastrophic floods cut spillways and deposited extensive sheets of sand and gravel. The report package includes extensive databases of field-collected information, borehole records, and aggregate data. These databases have been used to produce a wide variety of derived products which include, observed surface-material maps, drift-thickness maps etc. These have a number of uses such as showing potential aggregate deposits, making it possible to map aquifers prone to contamination, etc. The package includes innovative software for viewing maps and databases.
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 | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 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) | 0.015 | 0.003 |
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".