MétaCan
Menu
Back to cohort
Record W2472502184 · doi:10.5942/jawwa.2016.108.0154

Biomass Evolution in Full‐Scale Anthracite‐Sand Drinking Water Filters Following Conversion to Biofiltration

2016· article· en· W2472502184 on OpenAlexafffund
Amina K. Stoddart, Jordan J. Schmidt, Graham A. Gagnon

Bibliographic record

VenueAmerican Water Works Association · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsDalhousie University
FundersDalhousie UniversityNatural Sciences and Engineering Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBiofilterBiomass (ecology)Filtration (mathematics)AnthracitePulp and paper industryFilter (signal processing)ChemistryEnvironmental scienceSteady state (chemistry)Environmental engineeringAnimal scienceBiologyEcologyCoalMathematicsEngineering

Abstract

fetched live from OpenAlex

This study investigated biomass concentrations, as measured by adenosine triphosphate (ATP), in full‐scale, anthracite–sand biofilters as they acclimated to conversion from direct filtration to biofiltration. Results showed that there were three scales of biofilter biomass accumulation: an accumulation period within each filter cycle, and an accumulation period associated with adapting to chlorine‐free conditions for both biomass measured at the start and end of the filter cycle. Both start‐ and end‐of‐cycle biomass reached steady state after 220 days of operation. Start‐of‐filter‐cycle biomass accumulated at a rate of 0.008/day and reached a steady‐state concentration of 59 ng ATP/cm 3 media. End‐of‐filter‐cycle biomass reached an apparent steady‐state concentration of 267 ng ATP/cm 3 media. Biomass measured over a single filter cycle had an accumulation pattern similar to start‐of‐filter‐cycle biomass but accumulated more rapidly (1.96–4.46/day).

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designObservational
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

Citations17
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Water Works AssociationSame topicWater Treatment and DisinfectionFrench-language works237,207