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Record W3014596294 · doi:10.3808/jeil.202000027

Biological Treatment for Greywater Reclamation

2020· article· en· W3014596294 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

VenueJournal of Environmental Informatics Letters · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsMemorial University of NewfoundlandUniversity of Regina
FundersPetroleum Technology Research CentreNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsGreywaterLand reclamationEnvironmental scienceBioreactorWastewaterWaste managementEnvironmental engineeringMembrane bioreactorSewage treatmentEngineeringEcologyChemistryBiology

Abstract

fetched live from OpenAlex

Greywater reclamation is generally recognized as a viable solution to mitigate the challenges caused by water scarcity, increasing wastewater production, and increasingly stringent wastewater discharge permits. Biological processes may provide lower capital and operating costs, and less sludge production, than comparable physicochemical processes. This paper provides a general overview of the biological treatment processes currently available for greywater reclamation, including: rotating biological contactors, sequencing batch reactors, anaerobic sludge blanket bioreactors, constructed wetlands, membrane bioreactors, and hybrid membrane bioreactors. The advantages, disadvantages, and limitations of each of these technologies were examined in detail. The challenges of using reclaimed greywater were also examined in relation to the long-term sustainability of greywater reclamation. On balance, membrane-based processes were found to be among the most promising technologies for decentralized greywater reclamation, due largely to the quality of their treated water and compact size.

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 score0.492
Threshold uncertainty score0.666

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)0.0010.000

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 head0.032
GPT teacher head0.214
Teacher spread0.182 · 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