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Record W3189289632 · doi:10.1061/9780784483619.050

Welcome Neighbors! Upgrading an Existing Regional Water System to Extend the Service Footprint

2021· article· en· W3189289632 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePipelines 2021 · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsStantec (Canada)Red Deer Polytechnic
Fundersnot available
KeywordsPotable waterFootprintRecreationService (business)TruckTransport engineeringEnvironmental scienceService systemComputer scienceWater resource managementBusinessEnvironmental engineeringEngineeringGeographyAutomotive engineering

Abstract

fetched live from OpenAlex

Originally designed to service a defined set of communities in Parkland and Lac Ste Anne Counties west of Edmonton, AB, the service footprint of the West Interlake District (WILD) Regional Water System has been expanded multiple times in under 10 years to service additional communities, First Nations, and recreational developments in need of an assured, high quality source of water. From an original system length of 35 mi (56 km), the system length has more than doubled, and capacity doubled with construction expected to be completed in 2021. The paper outlines how the system was originally planned and how changes to demands changed the system hydraulics and necessitated additional potable water reservoirs, booster stations, as well as the retrofit of existing facilities. The paper will also discuss how truck fill stations were incorporated throughout the system design to enable the affordable provision of potable water servicing to area farms throughout the region.

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 categoriesInsufficient payload (model declined to judge)
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 score0.299
Threshold uncertainty score0.999

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)0.0010.001

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 head0.037
GPT teacher head0.259
Teacher spread0.222 · 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