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Record W4402060667 · doi:10.1061/9780784485590.021

NWIC Upper Plateau Separation Project: Reducing Flood Risk through Innovative Storm Catchment Separation

2024· article· en· W4402060667 on OpenAlexaffabout
Craig Pass, A. P. Wiens

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsBP (Canada)University of Calgary
Fundersnot available
KeywordsStormSeparation (statistics)Flood mythPlateau (mathematics)Environmental scienceHydrology (agriculture)Water resource managementMeteorologyGeologyComputer scienceGeographyGeotechnical engineeringMathematics

Abstract

fetched live from OpenAlex

The community of Sunnyside in Calgary, Alberta, is partially located within the Bow River floodplain. Sunnyside is protected from river flooding by an existing earth berm. The berm also prevents storm flows from being conveyed overland into the Bow River. Following a flood in 2013, the City of Calgary engaged Associated Engineering to complete a drainage study. It examined the drainage system within the community and recommended several drainage improvements. One of the improvements identified was a separate storm trunk to convey storm runoff by gravity, using an inverted siphon, from the Upper Plateau area directly to the Bow River. This new stormwater trunk intends to reduce the risk of stormwater surcharging in Sunnyside during elevated and low river level events on the Bow River. The proposed trunk, together with other improvements, reduces the risk and magnitude of overland flows, due to extreme rainfall events, from entering the community.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.149
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.307
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes2
Has abstractyes

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