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Record W2048531539 · doi:10.1002/cjce.20176

Model for biodegradation of a naphthenic acid in an immobilized cell reactor

2009· article· en· W2048531539 on OpenAlexafffundvenue
Janice C. Paslawski, Mehdi Nemati, Gordon A. Hill, John V. Headley

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2009
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsBiodegradationNaphthenic acidBiomass (ecology)ChemistryBioreactorDispersion (optics)ChromatographyBiofilmChemical engineeringOrganic chemistryBacteriaBiology

Abstract

fetched live from OpenAlex

Abstract Previously, using maximum feed concentrations of 500 mg/L, an immobilized cell reactor (ICR) with established biofilm was shown to enhance the biodegradation rate of a candidate naphthenic acid up to two orders of magnitude when compared to a freely suspended cell, well mixed tank reactor, reaching biodegradation rates of 22 000 mg/L day with 100% biodegradation efficiencies [Paslawski et al., J. Chem. Technol. Biotechnol. 2009a]. In this work, dispersion in the ICRs was found to be negligible and a plug flow model was developed and shown to represent the immobilized cell biodegradation data well. The effectiveness coefficient (percent of dry biofilm containing active biomass) was predicted to be approximately 55% with an effective thickness of 0.15 mm.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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

Citations7
Published2009
Admission routes3
Has abstractyes

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