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Record W2001052691 · doi:10.5942/jawwa.2012.104.0001

Effect of zinc and orthophosphate corrosion inhibitors on cement‐based pipes

2011· article· en· W2001052691 on OpenAlexaff
Jeffrey Parks, Anusha Kashyap, Amrou Atassi, Orren D. Schneider, Marc Edwards

Bibliographic record

VenueAmerican Water Works Association · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsAmerican Water (Canada)
FundersWater Research Foundation
KeywordsAlkalinityCorrosionZincCementMetallurgyMaterials scienceChemistry

Abstract

fetched live from OpenAlex

Many water utilities add zinc orthophosphate to treated water to reduce corrosion of plumbing materials within their distribution systems. The significance of zinc as a corrosion inhibitor was examined in bench‐scale tests of concrete corrosion. In waters with low hardness and low alkalinity, zinc orthophosphate provided better corrosion inhibition for concrete or cement‐based pipes than either zinc or orthophosphate alone. Addition of orthophosphate alone was beneficial in reducing the amount of scaling in waters with high hardness and high alkalinity.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.335

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 head0.004
GPT teacher head0.195
Teacher spread0.191 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2011
Admission routes1
Has abstractyes

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