Soil Temperature Patterns During the First Sugarcane Growth Stages Under a Different Crop Management in the Cauca River Valley, Colombia
Why this work is in the frame
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Bibliographic record
Abstract
For several years, the Colombian sugarcane industry had sugar and ethanol as its primary products. However, during the last years, sugar mills opened a new market based on products before considered waste. This new market offers a new possibility for harvest-waste utilization. However, if the waste becomes an income source, crop management will change. Collecting sugarcane waste for its utilization in making some other products, would mean a new crop management scenario left the soil bare soil during the first stages of planting and ratoon canes. We simulated a bare soil condition using mesocosms, for the three most representative soil textures of the Cauca river valley, and we measured soil temperature at different depths during the most convenient planting season (March-April). Results demonstrated differences in soil temperature patterns, especially in sandy soils, which tend to have higher thermal amplitudes in all layers. The parameters of linear regressions that relate temperature of layers, including air temperature, give information related to the thermal properties of soils, and therefore, it is possible, under Cauca Valley conditions, in the future to infer soil temperature from air temperature.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it