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Record W4309152086 · doi:10.1061/9780784484432.040

Vulnerability Assessment of Portland Water System in an M9 Cascadia Subduction Zone Earthquake

2022· article· en· W4309152086 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

VenueLifelines 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsGreenfield Research (Canada)
Fundersnot available
KeywordsSubductionGeologyVulnerability (computing)Quarter (Canadian coin)Plan (archaeology)SeismologyPipeline transportPopulationEnvironmental scienceArchaeologyGeographyTectonicsEnvironmental engineering

Abstract

fetched live from OpenAlex

The City of Portland’s water system is the largest in the state of Oregon covering an area of approximately 225 square miles and serving almost one-quarter of the population of the state. The water system services 165 pressure zones and has over 2,000 miles of pipelines, two major dams, 38 pump stations, 59 distribution system tanks, and 10 terminal storage reservoirs. Some of the oldest components of the system are over 100 years old. In 2009 dollars, the replacement value of the system was estimated to be $6.7 billion. A comprehensive seismic study of the Portland’s water system was completed to assess its performance in an M9 earthquake on the Cascadia Subduction Zone. A long-term system improvement plan was developed to meet the stated recovery goals in the Oregon Resilience Plan, a plan developed under the direction of Oregon House of Representatives to protect lives and maintain economic activity following an M9 earthquake.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.518

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 head0.008
GPT teacher head0.251
Teacher spread0.243 · 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