MétaCan
Menu
Back to cohort
Record W4214820425 · doi:10.1002/awwa.1862

Halifax Water's Lead Service Line Replacement Program Gets the Lead Out

2022· article· en· W4214820425 on OpenAlexaboutno aff
Wendy H Krkošek, Melissa Healey, Caitlin Sampson, A. D. McKnight

Bibliographic record

VenueAmerican Water Works Association · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsnot available
Fundersnot available
KeywordsLead (geology)Service (business)Lead timeWater supplyBusinessOperations managementEnvironmental scienceEngineeringWaste managementRisk analysis (engineering)Environmental engineeringMarketing

Abstract

fetched live from OpenAlex

Key Takeaways Halifax, N.S., has been addressing concerns over lead in its water supply since the 1940s. Today, there are about 3,500 private‐side lead service lines (LSLs) in Halifax Water's service area. Research findings have guided Halifax Water in examining and modifying its approaches to LSL replacement, corrosion control, and sampling protocol. Motivated by recommended US Lead and Copper Rule revisions, Halifax Water updated its lead removal program and later its Get the Lead Out program to be even more comprehensive.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.009
GPT teacher head0.236
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Water Works AssociationSame topicWater Treatment and DisinfectionFrench-language works237,207