Estimation of Aquifer Secondary Hydraulic Parameter Distributions from Surficial Geophysical Measurements of Primary Parameters: a Case Study of Ngor-Okpala Area of Imo State, Nigeria
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Bibliographic record
Abstract
Estimation of aquifer secondary hydraulic parameter distributions from surficial Geophysical measurement of primary parameters at Ngor–Okpala local government area of Imo State was carried out. The parameters estimated are practically significant in groundwater management. With the help of average permeability value for fine to coarse sandy formations, transmissivity and K?-values were obtained in addition to the Dar-zarouk parameters. The primary data which were validated by constraining the field data with the data obtained from logged borehole were converted to maps along with the estimated secondary parameters. Their distributions are diagnostic of significant information needed in groundwater assessment. The maps can also be used to improve the quality of model in the area.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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