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Record W2599355004 · doi:10.20381/ruor-12134

Sources and ecology of Escherichia coli in pulp and paper mill biosolids

2007· dissertation· en· W2599355004 on OpenAlexaboutno aff
Victoria Emily Renner

Bibliographic record

VenueuO Research (University of Ottawa) · 2007
Typedissertation
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBiosolidsPaper millMillEcologyPulp millEscherichia coliPulp (tooth)Pulp and paper industryEnvironmental scienceGeographyChemistryBiologyEngineeringEnvironmental engineeringArchaeologyMedicineEffluentDentistry

Abstract

fetched live from OpenAlex

Pulp and paper mills generate biosolids as a by-product of their effluent treatment systems. These biosolids show excellent potential as a soil conditioner. However, the detection of high levels of E. coli (10 2 to 105 CFU/gdw), in the absence of any significant fecal loading, has caused concern among effluent treatment system operators, land applicators and regulators. This research examines the sources and ecology of E. coli strains comprising the population of E. coli in the biosolids of an eastern Ontario pulp and paper mill by applying the molecular microbial source-tracking tool repetitive sequence-based polymerase chain reaction. Confirmed E. coli were successfully isolated from 2 forested sites, treated mill process feed water, storm effluent, mill fibres, wood chips, primary and secondary clarifier effluents and sludges, and biosolids. While laboratory isolates could be accurately distinguished from forest and industrial isolates, cluster and jackknife analyses were incapable of differentiating reliably among isolates from the forest, on-site inputs, effluent treatment system and biosolids (average rates of correct classification values ranged from 43.9% to 72.9%). No input could be excluded as a source of E. coli to the effluent treatment system. Many fingerprint types were unique to the primary and secondary clarifiers; however, only a subset of the fingerprint types recovered from the primary and secondary clarifiers were detected in the biosolids. This suggests that the E. coli strains found in mill biosolids were those able to survive the hot, desiccating conditions of dewatering. Highly similar fingerprint types (> 80% similarity) were recovered repeatedly over an 8-month period from the effluent treatment system (primary and secondary clarifiers) and biosolids. These results are consistent with growth within the effluent treatment system and biosolids, rather than fecal loading. Over a 3-year period the pulp and paper mill effluent treatment system underwent large-scale changes, including a 50% reduction in effluent volume upon the elimination of on-site pulping activities. New fingerprint types were detected in the biosolids following the restructuring, and the Shannon index of diversity increased. Disruption of established operating conditions could have opened niches, allowing new strains to colonize the mill effluent treatment system successfully.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: yes
Observationalhigh
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.296
Teacher spread0.276 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther · Empirical

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

Citations0
Published2007
Admission routes1
Has abstractyes

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