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Effects of Temperature, Moisture Content, and Fertilizer Addition on Biological Methane Oxidation in Landfill Cover Soils

2009· article· en· W2151505937 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePractice Periodical of Hazardous Toxic and Radioactive Waste Management · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversity of Ottawa
FundersU.S. Environmental Protection Agency
KeywordsWater contentFertilizerSoil waterMethaneMoistureAnaerobic oxidation of methaneEnvironmental chemistryNutrientChemistryEnvironmental scienceCarbon dioxideSoil scienceGeology

Abstract

fetched live from OpenAlex

Patterns of methane (CH4) oxidation were investigated under various combinations of environmental factors including temperature, moisture content, and fertilizer addition (as an additional nutrient source) in two types of existing landfill cover soils. In all the experimental runs, CH4 and oxygen concentrations decreased with time, while carbon dioxide concentration increased suggesting that biological CH4 oxidation was taking place. The highest CH4 oxidation rates (6.4–12.3μgCH4h−1gdrysoil−1) were achieved at 35°C. The lowest oxidation rates (3.3–4.7μgCH4h−1gdrysoil−1) were obtained for experiments conducted at 5°C without adding the fertilizer. For both types of soil, without adding fertilizer, the soil with 20% moisture content (MC) showed consistently higher oxidation rates compared to soil samples containing 25 or 30% MC, for different operating temperatures. Adding the fertilizer as the nutrient source to the two soils samples with 30% moisture content resulted in enhanced CH4 oxidation rates in a range of 44–145% at tested temperatures in the range between 5 and 35°C.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.238
Teacher spread0.227 · 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