Meteorological and hydrological data from the Alder Creek Watershed, Grand River Basin, Ontario
Bibliographic record
Abstract
This record is for the dataset “ Meteorological and hydrological data from the Alder Creek Watershed, Grand River Basin, Ontario” at https://doi.org/10.20383/101.0178. The Alder Creek field observatory was instrumented by the Southern Ontario Water Consortium as the middle member of three watersheds with different degrees of urbanization. Field data were collected via the deployment of electronic instruments and manual measurements in the Alder Creek watershed to answer questions related to water management at the watershed scale. Field sites were chosen based on: 1) an attempt to distribute measurement locations spatially throughout the watershed, 2) permissions obtained from local residents, businesses, and stakeholders (e.g., the Regional Municipality of Waterloo) for installations, and 3) interest in monitoring local processes such as depression focused recharge. Cellular network telemetry was used to regularly transmit remote field data to a computer at the University of Waterloo. This was part of a “smart” watershed design whereby field data could be reviewed by technicians to make decisions regarding field monitoring and equipment maintenance. Data collection schedules could also be adjusted remotely. This dataset can be downloaded at https://doi.org/10.20383/101.0178
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.017 |
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".