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Record W3166707901

Full-scale anaerobic digestion optimisation study

2010· dissertation· en· W3166707901 on OpenAlexaboutno aff
Enyonam Sewordor

Bibliographic record

VenueThe Atrium (University of Guelph) · 2010
Typedissertation
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsnot available
Fundersnot available
KeywordsAnaerobic digestionScale (ratio)Anaerobic exerciseDigestion (alchemy)Computer scienceEnvironmental scienceChemistryBiologyChromatographyGeographyCartographyEcologyMethane
DOInot available

Abstract

fetched live from OpenAlex

A full scale-study was undertaken on anaerobic digestion of municipal wastewater sludge in Collingwood, Ontario to determine if improvements in biogas production, pathogen reduction and sludge quality were possible at 44°C versus conventional mesophilic digestion at 35°C. Two HRTs were to be tested (20 and 40 days), as well as series operation of the digestion process, with one or both digesters at 35°C and 44°C and employing equal HRT in each digester. Technical difficulties meant that only two of the single-stage trials at 20 days HRT were completed, at 35°C and 44°C. They showed no statistically significant difference in average gas production, at 1031 m3/d for 35°C and 1035 m3/d at 44°C. Sludge quality was improved at 44°C in terms of fecal coliform reduction, but was not statistically significantly different for other pathogens (fecal streptococcus, ' E.coli' and 'Salmonella'), nutrient content and dewaterability. Pathogen reduction ranged from 1.1 to 3.3 log reduction at 44°C and 1.0 to 2.5 log reduction at 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.

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)0.001
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 score0.105
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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