Soil fertility situation in potato producing Kenyan highlands Case of KALRO-Tigoni
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Low soil fertility is an important factor limiting potato production in the Kenyan highlands; the situation is no better at Kenya Agricultural and Livestock Research Organisation (KALRO) station at Tigoni, which is the national potato research centre. In addition to inherent low soil fertility, fertilizer use in potato production in the country is below the recommended rates. The situation is compounded by the low soil pH which in most cases result Soil fertility; Soil pH; Potato Production in nutrient imbalances. Though soils in most potato growing areas in the country have low pH due to acidic parent rock, the commonly used fertilizer for potato production di-ammonium phosphate (DAP) (18:46:0) has been lowering the soil pH even further over time. In order to alleviate the situation, there is need to change the fertilizers used in potato production in Kenya.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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