Predicting Squeezing Potential Along the First 16 Kilometres of the Qomroud Long Tunnel Project in Iran Using Empirical Criteria
Bibliographic record
Abstract
Central Iran can be described as an arid region which suffers from water shortage and very limited water supply. The Dez-Qomroud tunnel projects will convey water from the adjacent Dez Highlands to a central Iran watershed known as Qomroud in order to satisfy the water needs. In this article, we first highlight the engineering geology, rock mass properties and intact rock properties of the first 16 km of the Qomroud Long Tunnel (QLT), a portion of the Dez-Qomroud tunnel projects, and then we assess this section for squeezing ground condition potential using available empirical relations and criteria published in the literature. Some mitigation measures are recommended in order to treat the squeezing ground condition in the identified problem bearing sections along the studied tunnel.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".