MétaCan
Menu
Back to cohort
Record W2352478423

Vacuum brazing of Nb and stainless steel with Cu-Ti and Cu-Co-Ti filler metals

2008· article· en· W2352478423 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.

Bibliographic record

VenueElectric Welding Machine · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsBrazingMaterials scienceFiller metalMetallurgyFiller (materials)Ultimate tensile strengthJoint (building)Layer (electronics)MetalComposite materialWeldingAlloyArc welding
DOInot available

Abstract

fetched live from OpenAlex

Vacuum brazing of Nb and stainless steel using Cu-Ti and Cu-Co-Ti filler metals was studied.Under the brazing condition of 960 ℃/20 min two Fe-and-Nb-rich reaction layers were formed respectively at the interfaces between Nb and the brazing seam,and between the brazing seam and the stainless steel.Compared with the joint brazed with Cu-Ti filler metal,the content of Cu in the reaction layer adjacent to the stainless steel is higher than the joint brazed with Cu-Co-Ti filler metal,so is the content of Nb in the brazing seam.The ambient-temperature tensile strength of the joint brazed with Cu-Co-Ti filler metal is slightly higher than that brazed with Cu-Ti filler.

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)0.000
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 score0.026
Threshold uncertainty score0.605

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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