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Record W2607139849

Characterization of Anaerobic Digestates for their Nitrogen Fertility Value and Improved Nutrient Management

2014· dissertation· en· W2607139849 on OpenAlexfundno aff
Mary Christine O'Reilly

Bibliographic record

VenueThe Atrium (University of Guelph) · 2014
Typedissertation
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsnot available
FundersMinistry of Rural Affairs
KeywordsAnaerobic exerciseValue (mathematics)NutrientNitrogenFertilityEnvironmental scienceBiologyChemistryMathematicsEcologySociologyStatisticsOrganic chemistryDemography
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this research was to determine the nitrogen fertility benefits of anaerobic digestates (AD) applied to agricultural soils for crop production. \tThe kinetics of nitrogen release in soils amended with AD were measured in 6-week laboratory incubation studies. Nitrification occurred within the first 3-4 weeks. Mineralization was not statistically significant over time. Soil samples from field trials in the 2012 - 2013 cropping year showed nitrification and mineralization occurred in the six weeks after AD application. Most soil inorganic-N was taken up by the crop before harvest. Early growth of maize (Zea mays L.) in soil amended with AD was investigated in a greenhouse trial. Field trials in 2012 and 2013 measured grain yield response and stover production of maize in soils treated with AD, urea, or manure (2013 only). These experiments confirm that inorganic-N in digestate and urea is equally available, and that ADs are a comparable nitrogen source to liquid manure (FNEs of 34% and 31%, respectively).

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)0.000
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 score0.934
Threshold uncertainty score0.636

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 head0.006
GPT teacher head0.184
Teacher spread0.178 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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