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Record W2474859581 · doi:10.1061/9780784479957.055

Risk Assessment for the Region of Peel’s Lake-Based Water Supply System

2016· article· en· W2474859581 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.

Bibliographic record

VenuePipelines 2016 · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLife Cycle Costing Analysis
Canadian institutionsMiller Group (Canada)
Fundersnot available
KeywordsWater supplyMains electricityBusinessEnvironmental economicsNet present valueService (business)Capital costElectricityRisk managementRisk analysis (engineering)Water resource managementOperations managementEnvironmental scienceFinanceProduction (economics)Environmental engineeringEngineeringMarketingEconomics

Abstract

fetched live from OpenAlex

Growth projections indicate that the Regional Municipality of Peel (the Region) will need to supply over 2.5 million residential and commercial customers with a reliable and high quality supply of drinking water over the next 20 years. In order to achieve these customer levels of services while balancing cost and risk of service, the Region utilized a risk based approach to managing its transmission and sub transmission pipes (water supply pipes) to inform decisions related to maintenance, renewal and capital programming activities with the end goal of achieving established customer level of service targets for water supply. The outcomes of the risk assessment allowed the Region to identify critical water supply pipes; support business justification for short, medium and long term expenditures; use net present value (NPV) economic analysis to identify the lowest cost mitigation options; and develop a consistent and transparent risk based approach to managing its transmission and sub transmission mains.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.274

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 head0.020
GPT teacher head0.240
Teacher spread0.221 · 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