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Record W1969241034 · doi:10.1080/09593332708618751

An Approach to the Measurement of Decay, Active Fraction of Biomass and Extracellular Polymeric Substances: Applied to Hydrogen–Driven Denitrification

2006· article· en· W1969241034 on OpenAlex
B. Rezania, Jan A. Oleszkiewicz

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

VenueEnvironmental Technology · 2006
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDenitrificationBiomass (ecology)Extracellular polymeric substanceChemistryFraction (chemistry)Environmental chemistryHydrogenEnvironmental scienceWaste managementChemical engineeringEnvironmental engineeringNitrogenEcologyChromatographyBiofilmEngineeringOrganic chemistryBiologyBacteria

Abstract

fetched live from OpenAlex

A general method for measurement of active biomass and decay coefficient and Extracellular polymeric substances (EPS) concentration in steady-state biomass was developed. The model was applied to the process of hydrogenotrophic denitrification in order to measure biomass constituents and decay and yield coefficients. It was found that steady-state biomass obtained after operation at 20 day solids retention time (SRT) was composed of 41% active biomass, 25.6% cell debris and 33.4% extracellular polymeric substance. The value of 0.041 d(-1), and 0.27 mg active biomass per mg NO3-N were obtained for decay coefficient and true yield, 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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.432

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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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