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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 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

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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