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Record W1555478167 · doi:10.1080/01496395.2012.672355

Coalescence/Filtration of an Oil-In-Water Emulsion in an Immobilized <i>Mucor rouxii</i> Biomass Bed

2012· article· en· W1555478167 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSeparation Science and Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryEmulsionChromatographyFiltration (mathematics)Coalescence (physics)Biomass (ecology)Cross-flow filtrationVolumetric flow ratePulp and paper industryMembraneBiochemistryAgronomy

Abstract

fetched live from OpenAlex

Breakdown mechanisms and flow characteristics involved in an immobilized M. rouxii biomass bed treating oil-in-water emulsion were investigated. The purpose of this research was to evaluate the applicability of the well-known Carman-Kozeny filtration equation to a 1000 mm immobilized M. rouxii biomass bed treating a standard mineral oil-in-water emulsion at six different flow rates (12, 16, 20, 24, 28, and 32 mL/min). The specific permeability coefficient, the Carman-Kozeny constant, and the shape factor of immobilized M. rouxii bed were found to be 2.135 × 10−8 m2, 5.03, and 1.13, respectively. The coalescence efficiency decreased with an increase in bed depth (from 15.9% at 200 mm to 4.0% at 1000 mm depth for a flow rate of 12 mL/min). Results indicated possible sequential occurrence of coalescence and filtration in the immobilized M. rouxii biomass bed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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