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Record W2064239676 · doi:10.5006/1328

The Influence of the Cations in Anti-Icing Brines on the Corrosion of Reinforcing Steel in Synthetic Concrete Pore Solution

2015· article· en· W2064239676 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCORROSION · 2015
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsCorrosionBrineChlorideMaterials scienceSalt (chemistry)MetallurgyDrop (telecommunication)Inorganic chemistryChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Concentrated salt solutions are currently being used as antiicing and deicing agents on the roads and highways in Ontario, Canada. The four commonly-used brines are predominantly CaCl2, NaCl, MgCl2, or a multi-chloride (CaCl2/NaCl) mix. The purpose of this investigation was to determine if the different cation(s) of the brine have an influence on the chloride threshold concentration for corrosion initiation of reinforcing steel and on the subsequent active corrosion rates. The tests were carried out in synthetic pore solution in order to allow for control of the chloride content and observation of any corrosion. The results show that the MgCl2 results in a significant drop in pH of the solution and a corresponding high level of corrosion, while the NaCl solution has the lowest chloride threshold value and most anodic corrosion potential.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.226
Teacher spread0.207 · 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