MétaCan
Menu
Back to cohort
Record W15570184 · doi:10.2166/wqrj.2004.032

Treatment of Log Yard Runoff in an Aerobic Trickling Filter

2004· article· en· W15570184 on OpenAlexafffund
Christine Alison Woodhouse, Sheldon J.B. Duff

Bibliographic record

VenueWater Quality Research Journal · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiochemical oxygen demandChemical oxygen demandTotal suspended solidsSurface runoffChemistryTrickling filterEnvironmental chemistryEnvironmental scienceAnimal sciencePulp and paper industryEnvironmental engineeringWastewaterBiologyEcology

Abstract

fetched live from OpenAlex

Abstract Contaminated stormwater runoff from log yards is generated when precipitation comes into contact with wood, woody debris and equipment at outdoor wood sorting, processing and storage facilities. Nine runoff samples collected at a sawmill had biochemical oxygen demand (BOD), chemical oxygen demand (COD), tannins and lignin (T+L), and total suspended solids (TSS) levels ranging from 25 to 745 mg/L, 125 to 4610 mg/L, 10 to 1505 mg/L, and 65 to 2205 mg/L, respectively. Six samples were acutely toxic (EC50 <100%) based on the Microtox assay. The samples were effectively treated using a laboratory-scale, attached microbial growth reactor. Treatment for 24 hours at 34°C resulted in substantial reductions in BOD (94–100%), COD (86–93%) and T+L (91–97%). Near complete removal of acute toxicity and colour were also observed. Twenty-four-hour treatment at lower temperatures, 24 and 5 C, reduced BOD concentrations by 97 and 76%, COD by 91 and 64%, and T+L by 95 and 67%, respectively.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0040.001

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 head0.145
GPT teacher head0.373
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueWater Quality Research JournalSame topicFreshwater macroinvertebrate diversity and ecologyFrench-language works237,207