Simulation-Based Variance Components Analysis for Characterization of Interaction Effects of Random Factors on Trichloroethylene Vapor Transport in Unsaturated Porous Media
Bibliographic record
Abstract
This paper presents a simulation-based random effects model for analyzing the interaction effects of random factors on the gaseous transport of volatile organic compounds (VOCs) in the unsaturated zone. The model has the advantages of addressing parameter uncertainty characterized by inherent randomness in simulating the gaseous transport of VOCs in the unsaturated porous media, as well as of investigating their potential interactions and the nonlinear effects on the VOC vapor concentrations through a variance components analysis. The proposed model is applied to a numerical experiment on the transport behavior of trichloroethylene (TCE) vapors in the unsaturated porous media. The results reveal that variations of random factors can cause a significant difference in the gaseous TCE concentrations, and the temporal and spatial variability in the TCE vapor concentrations can result in different effects of factors on the model response.
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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 | 0.004 |
| 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 | 0.001 |
| 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".