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Record W2060654039 · doi:10.4141/s99-068

CH<sub>4</sub> fluxes and soil CH<sub>4</sub> concentration following application of pig slurry for the 19th consecutive year

2000· article· en· W2060654039 on OpenAlexafffundvenue
Philippe Rochette, Denis Côté

Bibliographic record

VenueCanadian Journal of Soil Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsInstitut de Recherche et de Développement en AgroenvironnementAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsSoil waterSlurryManureEnvironmental scienceSnowMethaneGrowing seasonHydrology (agriculture)AgronomyChemistrySoil scienceGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

Agricultural soils often receive annual manure applications over long periods. The objective of this study was to describe the temporal variations of CH4 fluxes during the growing season in an agricultural soil receiving pig slurry for the 19th consecutive year. In mineral-fertilized control plots, CH4 fluxes were small and negative (uptake) during the experiment. Fluxes were also negative in the manured plots except during the first 4 d following slurry application when net emissions were measured. Despite their short duration, these post-application emissions were almost equivalent to the amount of CH4 taken up by these soils during the rest of the snow-free season. Key words: Geenhouse gases, static chamber, methane concentration in soils

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

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 communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.202
Teacher spread0.193 · 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 designObservational
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

Citations8
Published2000
Admission routes3
Has abstractyes

Explore more

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