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Record W4297293620

Nitrate injections during municipal solid waste anaerobic digestion

2005· preprint· en· W4297293620 on OpenAlexaff
Vincent Vigneron, Marie Ponthieu, Laurent Mazéas, G. Barina, J.M. Audic, Nicolas Bernet, Théodore Bouchez

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2005
Typepreprint
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsSuez (Canada)
Fundersnot available
KeywordsAnaerobic digestionMunicipal solid wasteWaste managementNitrateDigestion (alchemy)Environmental sciencePulp and paper industryChemistryChromatographyEngineeringMethaneOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Nitrate injections were performed during anaerobic digestion of two kinds of wastes in order to better understand the nitrate conversion reactions which can occur in landfill when nitrified leachate is recirculated. Heterotrophic denitrification was the main nitrate conversion reaction observed. When H2S concentration exceeded 0.18 mmol/L in the headspace, denitrification was replaced by DNRA (Dissimilatory Nitrate Reduction to Ammonia). When nitrate injections were performed in reactor containing stabilized waste, autotrophic denitrification was observed. A modification of the waste degradation process was observed with nitrate injections : more dissolved matter and less matter converted as biogas were produced. The three nitrate injections performed at days 3, 17 and 45 delayed the beginning of the methanogenic phase compared to control reactors.

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.214
Teacher spread0.204 · 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
Published2005
Admission routes1
Has abstractyes

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