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Record W2327623096 · doi:10.1021/ie4012003

Simulation-Based Variance Components Analysis for Characterization of Interaction Effects of Random Factors on Trichloroethylene Vapor Transport in Unsaturated Porous Media

2013· article· en· W2327623096 on OpenAlexaff
Shuo Wang, Guohe Huang, Jia Wei, Li He

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2013
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsTrichloroethyleneRandomnessPorous mediumVadose zoneChemistryVolatile organic compoundVariance (accounting)Biological systemEnvironmental chemistryPorosityEnvironmental scienceSoil scienceStatisticsMathematicsOrganic chemistrySoil water

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.309
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2013
Admission routes1
Has abstractyes

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