Determining Aquifers and Bedrock of Qaen Plain by the Resistance Measurement Method
Bibliographic record
Abstract
The aim of this study is to determine aquifers and bedrock of Qaen plain by the resistance measurement method. Using symmetrical Schlumberger electrode array, the most common method to detect underground water, Qaen plain was located in the west of Khanik village situated in the North East of drainage basinto the West of Aliabad village situated in the West of drainage basinat 159 electric sounding stations along 13 profiles under the geoelectrical operation. Profiles were along the south East-North West. At most, the half of the Electrode distance was 500 meters in the Schlumberger array. Interpretation of geoelectric sounding was done using the Partial and computer compliancemethod (using ipi2win Software). The obtained results of the Geoelectrical operation were interpreted and drawn by resistivity section, resistivity profiles, the apparent resistivity maps of the different flow lines (AB including 200, 600, and 1000 meters), and isobath map of the rock.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".