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Record W2091476504 · doi:10.2320/matertrans.46.1551

Bending Properties of Co–Ni–Cr–Mo Alloy Wire for Orthodontic Application

2005· article· en· W2091476504 on OpenAlexaff
Takayuki Yoneyama, Osamu Takahashi, Equo Kobayashi, Takao Hanawa, Hisashi Doi

Bibliographic record

VenueMATERIALS TRANSACTIONS · 2005
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsMaterials scienceAlloyDeflection (physics)MetallurgyBendingComposite materialHardening (computing)

Abstract

fetched live from OpenAlex

In order to evaluate the clinical performance of the Co–Ni–Cr–Mo alloy wire in orthodontic application, bending properties of Co–Ni–Cr–Mo alloy wire was investigated in comparison with the conventional stainless steel wire and Co–Cr alloy wire. Three-point bending test was carried out for the wires with varied drawing rate up to 3.0 mm in deflection and then unloaded with 0.2 mm/s of loading/unloading speed. Bending yield load of the Co–Ni–Cr–Mo alloy wire increased and the residual deflection decreased with increasing wiredrawing rate. The best processing condition was decided as the wiredrawing rate of 78% with the age-hardening treatment. The bending elastic modulus of the Co–Ni–Cr–Mo alloy wire was higher than those of stainless steel wire and Co–Cr alloy wire. The bending strength of the Co–Ni–Cr–Mo alloy wire was lower than that of stainless steel wire and was comparable to that of Co–Cr alloy wire.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.047
GPT teacher head0.302
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2005
Admission routes1
Has abstractyes

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