MétaCan
Menu
Back to cohort
Record W2133662910 · doi:10.1061/9780784413692.005

Starting a Condition Assessment Program for PCCP in Tampa Bay Water's Wholesale System

2014· article· en· W2133662910 on OpenAlex
Suzannah Folsom, Mike Garaci, Alan Bair, Don Bramlett

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.

Bibliographic record

VenuePipelines 2014 · 2014
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsPipingBayPipeline transportEnvironmental scienceWater qualityWater supplyDesalinationPort (circuit theory)Sanitary sewerWater resource managementEnvironmental engineeringBusinessCivil engineeringEngineering

Abstract

fetched live from OpenAlex

A condition assessment program should be an integral part of a utility's strategy for managing repair and replacement of its large-diameter piping. Using nondestructive condition assessment and performance analysis can prolong the useful life of piping, reduce the risk of catastrophic failure, allow for target rehabilitation, and significantly reduce the community disruption and capital cost of pipeline replacement projects. Tampa Bay Water is a wholesale water provider with more than $1 billion in assets and more than 100 miles of large-diameter piping. Tampa Bay Water's regional water delivery system supplies quality water to 2.3 million customers to six member governments: the cities of Tampa, St. Petersburg, New Port Richey, and Hillsborough, Pinellas, and Pasco Counties. The regional water system comprises groundwater and surface water sources, an off-stream storage reservoir, a seawater desalination plant and a collection of treatment facilities pipes and pumps. The focus of the agency has recently shifted from completing new water supply projects, to repairing and maintaining its large and diverse wholesale water treatment and conveyance system.

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 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: none
Teacher disagreement score0.638
Threshold uncertainty score0.579

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)0.0000.000

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 head0.006
GPT teacher head0.242
Teacher spread0.237 · 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