Bibliographic record
Abstract
International Soil Moisture Network (ISMN) site within Canada’s Real-Time In-Situ Soil Monitoring for Agriculture (RISMA) network in Saskatchewan, station 4. From 2014–2021, 15-minute in-situ record comprising multi-sensor soil moisture and temperature at six depths (0–5 cm to 150 cm) and collocated meteorology. The site has frequency-domain reflectometry sensors (Stevens HydraProbe II) installed at depths of 5 cm, 20 cm, 50 cm, 100 cm, and 150 cm below the surface. An additional surface measurement of the 0–5 cm layer is also recorded, effectively providing six distinct depth readings (surface 0–5 cm, 5 cm, 20cm, 50 cm, 100 cm, 150 cm). The station also measures air temperature, precipitation, relative humidity, wind speed, and wind direction at a nearby weather station, and it monitors battery voltage for maintenance. Data from this station are logged at 15-minute intervals, providing a high-resolution time series from 2014 through 2021. This data was used to research on "Multi-Scale Soil Moisture Prediction Using Recurrent Neural Networks with Temporal Attention."
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.038 | 0.047 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.048 |
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; both teacher heads agree on what is shown here.
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".