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Record W2783662842 · doi:10.2175/193864711802766254

Twenty-year Performance Evaluation of Grass Swale and Perforated Pipe Drainage Systems

2011· article· en· W2783662842 on OpenAlexaboutno aff
Jean-François Sabourin, Heather C. Wilson

Bibliographic record

VenueProceedings of the Water Environment Federation · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsSwaleDrainageStormwaterDrainage system (geomorphology)Hydrology (agriculture)Environmental scienceStormwater managementGeologyGeotechnical engineeringSurface runoffEcology

Abstract

fetched live from OpenAlex

Twenty-year Performance Evaluation of Grass Swale and Perforated Pipe Drainage SystemsThree sewersheds in Ottawa, Canada, consisting of two grass swale and perforated pipe (GSPP) drainage systems and one conventional curb and gutter drainage system were studied to compare the performance of GSPP systems to the conventional drainage systems. The research was conducted by J.F. Sabourin in 1991/92, with follow-up studies in 1998 and 2006 by J.F. Sabourin and Associates Inc. (JFSA)....Author(s)Jean-François SabourinHeather C. WilsonSourceProceedings of the Water Environment FederationSubjectSession 90: Sustainable Solutions to Stormwater Issues Through Green InfrastructureDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2011ISSN1938-6478SICI1938-6478(20110101)2011:10L.6035;1-DOI10.2175/193864711802766254Volume / Issue2011 / 10Content sourceWEFTECFirst / last page(s)6035 - 6059Copyright2011Word count159Subject keywordsstormwater managementgrass swaleperforated pipedrainage systemsperformance evaluation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.024
GPT teacher head0.184
Teacher spread0.159 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2011
Admission routes1
Has abstractyes

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Same venueProceedings of the Water Environment FederationSame topicUrban Stormwater Management SolutionsFrench-language works237,207