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Record W32768248 · doi:10.5006/c2000-00361

Mechanistic Studies of Initiation and Early Stage Crack Growth for Near-Neutral pH SCC on Pipelines

2000· article· en· W32768248 on OpenAlexaff
Fraser King, Tom Jack, Weixing Chen, M. Wilmott, R. R. Fessler, K. Krist

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of AlbertaNova Chemicals (Canada)
Fundersnot available
KeywordsPipeline transportMaterials scienceMetallurgyPetroleum engineeringChemistryGeology

Abstract

fetched live from OpenAlex

Abstract Evidence from laboratory experiments and field observations on near-neutral pH SCC of pipeline steel is reviewed. Emphasis is placed on the effects of environmental parameters, such as potential, pH and HCO3−/CO32− concentration, on the SCC mechanism. The results are interpreted in terms of either a dissolution-based or hydrogen-based mechanism. The weight of evidence supports a hydrogen-based mechanism for near-neutral pH SCC. Dissolution may play a role in SCC initiation. Enhanced rates of hydrogen evolution and permeation appear possible under near-neutral pH SCC conditions, whilst the observed dissolution rates and the absence of an efficient mass-transport mechanism to support rapid crack-tip dissolution seem to rule out dissolution as an important contributor to crack growth.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.617

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)0.0010.000

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 head0.056
GPT teacher head0.319
Teacher spread0.264 · 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 designBench or experimental
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

Citations21
Published2000
Admission routes1
Has abstractyes

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