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Record W2624484404 · doi:10.1504/ijewm.2017.10005552

Some remarks on the evaluation of m-cresol and pyridine biodegradation kinetics

2017· article· en· W2624484404 on OpenAlex

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

VenueInternational Journal of Environment and Waste Management · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBiodegradationPyridineChemistryEnvironmental chemistryWastewaterBiomass (ecology)CoalBioreactorPulp and paper industryWaste managementEnvironmental scienceEnvironmental engineeringOrganic chemistryBiologyEcologyEngineering

Abstract

fetched live from OpenAlex

Wastewater produced from petroleum and coal processing industries can be contaminated with m-cresol and pyridine, which are two hazardous compounds with significant environmental and health effects. A bacterium known as Lysinibacillus cresolivorans has been demonstrated to effectively biodegrade m-cresol and this bacterium has been utilised by researchers to study the interaction effects of m-cresol and pyridine. Some variations in the literature were observed in the experimental data of the biodegradation of pyridine, which may be attributed to inaccurate estimation of initial cell mass concentration. In this work, simulations were run in combination with an algorithm to optimise initial biomass cell concentrations to describe the biodegradation kinetics of an inhibitory system in relation to experimental data. Simulated data on predicted cell concentrations and the results of this study may facilitate full-scale bioreactor design for m-cresol and pyridine removal from wastewater resulting from petroleum and coal processing.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.166

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 head0.028
GPT teacher head0.266
Teacher spread0.238 · 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