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Record W2992678716 · doi:10.2175/193864702785302339

The Unusual Scent of Toronto Biosolids Investigation of the Causes and Solutions

2002· article· en· W2992678716 on OpenAlex
Deborah Ross, Troy Briggs, David M. Bagley, Mark Rupke

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the Water Environment Federation · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsnot available
Fundersnot available
KeywordsBiosolidsBayEnvironmental scienceOdorSewage treatmentWaste managementEnvironmental engineeringEngineeringCivil engineeringChemistry

Abstract

fetched live from OpenAlex

The Unusual Scent of Toronto Biosolids Investigation of the Causes and SolutionsThe City of Toronto's Ashbridges Bay Treatment Plant (ABTP) provides 800 ML/d capacity in an activated sludge treatment process. The plant is currently operating at about 75% of its capacity, and generates an average of 130 dry tonnes of sludge per day.Author(s)Deborah RossTroy BriggsDavid BagleyMark RupkeSourceProceedings of the Water Environment FederationSubjectSession 18: Odor Control for BiosolidsDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2002ISSN1938-6478SICI1938-6478(20020101)2002:3L.1142;1-DOI10.2175/193864702785302339Volume / Issue2002 / 3Content sourceResiduals and Biosolids ConferenceFirst / last page(s)1142 - 1151Copyright2002Word count54

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.326

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)0.0000.000

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 head0.014
GPT teacher head0.175
Teacher spread0.161 · 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