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Record W2404630828 · doi:10.1061/9780784479889.038

Ensuring Bioretention System Performance Success: Guidance for the Verification of Bioretention Media via Quality Assurance and Control Testing

2016· article· en· W2404630828 on OpenAlexaff
Mindy Hills, Alex Macleod, James H. Lenhart

Bibliographic record

VenueWorld Environmental and Water Resources Congress 2016 · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsBioretentionCertificationQuality (philosophy)Quality assuranceEngineeringStormwaterOperations management

Abstract

fetched live from OpenAlex

Engineered media is the heart of bioretention system performance. Therefore, preserving media integrity is of the utmost importance. A successful bioretention installation involves oversight not just onsite, but having a framework in place for transferring raw materials to a blended, commercially installed product. This framework should encompass standards of practice utilizing rigorous verification testing for qualifying, sourcing, verifying, producing, storing, and handling media. Media certification must be based on high standards of quality control in bioretention media raw materials and media composition, and use of strict quality assurance methods in the controlled manufacturing process, validated with numerous characterization, composition and performance tests conducted during and after production. Finally, bioretention media should be verified, post-construction, that the media was not compromised during the construction of the bioretention system. In following the appropriate media certification test program, the stormwater designer can be confident that use of media in his/her bioretention plan will yield the same performance as specified in the bioretention design manual.

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)0.001
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 score0.284
Threshold uncertainty score0.379

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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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