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Record W1979861080 · doi:10.5006/1.3290338

Halide Pitting of Type 316L Stainless Steel—Effect of Electron Beam Remelting

2001· article· en· W1979861080 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCORROSION · 2001
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and Technology
KeywordsPitting corrosionHalideMaterials scienceChlorideMetallurgyScanning electron microscopeSodiumBromideCorrosionChemistryInorganic chemistryComposite material

Abstract

fetched live from OpenAlex

Pitting studies were conducted on a commercial Type 316L (UNS S31603) stainless steel (COM 316L) and a Type 316L steel refined by electron beam cold hearth remelting (EBCHR) to decrease the inclusion content. The steels were subjected to potentiodynamic polarization pitting tests in 0.6 M sodium bromide (NaBr) and 0.6 M sodium chloride (NaCl) solutions. Pitting morphologies and distributions were examined by scanning electron microscopy. The EBCHR steel (EBCHR 316L) exhibited a much lower pitting density than COM 316L, with no significant improvement in pitting potential, in both halide solutions. Also, the fewer pits on EBCHR 316L were generally larger and/or more open than on COM 316L, causing the overall beneficial effects of EBCHR refining on pitting to be questionable. The bromide solution tended to produce a lower mean pitting potential than chloride for each steel condition and produced larger numbers of small crystallographic pits on COM 316L. Pitting sites and adsorption of halide ions are discussed.

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)0.002
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 score0.024
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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