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Record W2036830375 · doi:10.1061/41095(365)297

Hydraulic Aspects of the Design of a Passive Methane Oxidation Biocover

2010· article· en· W2036830375 on OpenAlexaffabout
Amir M. Abdolahzadeh, Alexandre R. Cabral, Jonathan A. Lafond, Suzanne Allaire

Bibliographic record

VenueGeoFlorida 2010 · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversité Laval
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorRotary Foundation
KeywordsMethaneHydraulic conductivitySaturation (graph theory)Water contentDegree of saturationAnaerobic oxidation of methaneReliability (semiconductor)MoistureEnvironmental scienceOxidation processSoil scienceMaterials scienceEnvironmental engineeringSoil waterChemistryGeotechnical engineeringEngineeringChemical engineeringComposite materialThermodynamicsMathematics

Abstract

fetched live from OpenAlex

Passive methane oxidation biocovers (PMOB) have been recently proposed as a viable option for migration residual emissions. The efficiency of a PMOB depends on the degree of saturation, which controls the migration of molecular O2; a necessary element in the CH4 oxidation process. The evolution of the degree of saturation Sr is regulated by the unsaturated flow of moisture across the PMOB, which can only be describe with the water retention curve (WRC) and hydraulic conductivity function (k-fct) of the material. This paper discusses the reliability of laboratory-obtained WRCs as input parameter in the prediction of the hydraulic behavior of PMOBs in the field. Three WRC were determined based on field data and in the laboratory using a tension plate. The field data was obtained from an experimental PMOB constructed at St-Nicéphore landfill, Quebec, Canada, where tensiometers and water content probes were installed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes2
Has abstractyes

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