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Record W2538440968 · doi:10.14796/jwmm.r207-04

A Methodology to Design and/or Assess Baffles for Floatables Control

2001· article· en· W2538440968 on OpenAlex
Thomas Newman

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Water Management Modeling · 2001
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsnot available
Fundersnot available
KeywordsBaffleCombined sewerComputer scienceControl (management)Environmental scienceEngineeringCivil engineeringMarine engineeringMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Tbis chapter describes an analytical framework for the design and/or analysis of baffles to reduce floatables discharges from combined-sewer overflows (CSOs). This simple analytical framework, which is supported with a spreadsheet model, is compared to its predecessors and its advantages illustrated. These include ease of use, improved applicability to typical installation configurations, and refmed analyses of floatables-removalmechanisms. Refined analyses include a simple accounting for flow path through a chamberincluding a provision for situations where the invert of the inlet conduit is at a higher elevation than the bottom of the baffle -and a simple accounting for floatables captme via the underflow (dry-weather connection) during overflow conditions. Results of the model are compared to the results of the previous approaches and to available laboratory test data for four test cases. Examples of the model application to cases in the City ofNew York are available from the author. Finally, possible areas for future improvement in the model approach are identified.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.616
Threshold uncertainty score0.301

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 studies0.0000.000
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 head0.097
GPT teacher head0.296
Teacher spread0.199 · 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