Proceedings of The South African Sugar Technologists ' Association- June 1994 ELECTROMAGNETIC INDUCTION AS A TECHNIQUE FOR DIAGNOSING AND MAPPING SOIL SALINITY
Bibliographic record
Abstract
Conventional methods of measuring salinity involve soil sampling with an auger followed by analysis of a water extract ofthe sample in the laboratory. This procedure is slow, laborious and expensive. The EM-38 electromagnetic induction soil conductivity sensor of Geonics Ltd (Canada) has been developed to facilitate rapid field measurements ofsoil salinity. It responds to the electrical conductivity (EC) of the bulk soil, and this is influenced by the salinity level as well as the water content. The depth of influence of the sensor is approximately 1,5 m. Calibration equations presented allow estimation of the EC of the saturation extract for the upper 1,2 m soil depth for various categories oftexture and water status. Soil salinity maps for a study area at the La Mercy farm demonstrate the utility ofthe sensor for salinity mapping.
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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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".