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Record W4405371774 · doi:10.14314/polimery.2024.10.4

Effect of conventional and digital methods and aging on the shear bond strength of orthodontic brackets with temporary crowns based on aged PMMA

2024· article· en· W4405371774 on OpenAlexaff
Majed M. Alsarani, Durgesh Bangalore, Najm Alfrisany, Abdullah Alshamrani, Tarek El‐Bialy

Bibliographic record

VenuePolimery · 2024
Typearticle
Languageen
FieldDentistry
TopicDental materials and restorations
Canadian institutionsUniversity of Alberta
FundersKing Saud University
KeywordsMaterials scienceComposite materialBond strengthShear strength (soil)DentistryOrthodonticsMedicineGeologyAdhesive

Abstract

fetched live from OpenAlex

Shear bond strength (SBS) of orthodontic brackets bonded to temporary crowns (TC) was investigated. TC were manufactured using conventional and digital methods (CAD/CAM milling, 3D printing) and then subjected to cyclic aging (5, 000 cycles). Surface roughness (Ra) and contact angle of polished and abrasive blasted TC were determined before and after aging. Data analysis was performed using one-way ANOVA and repeated measures, and LSD in post-hoc tests (α=0.05). After surface treat ment, there was a significant increase in Ra of conventional and milled TC (p<0.001), while 3D printed showed a slight increase in Ra (p=0.073). The contact angle of polished TC surfaces was significantly different (p>0.05), and after surface treatment the differences in contact angle were small (p<0.001). Aesthetic orthodontic brackets bonded to temporary crowns, regardless of the production method, have adequate bond strength before and after aging, with the exception of 3D printed TCs after aging.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.256

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 head0.017
GPT teacher head0.324
Teacher spread0.307 · 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 designObservational
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

Citations1
Published2024
Admission routes1
Has abstractyes

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