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Record W4413483538 · doi:10.1111/jerd.70011

Effect of Moving the Tip of the Light Curing Unit on the Irradiance Value Delivered

2025· article· en· W4413483538 on OpenAlexafffund
Juliana Anany Gonzales Guarneri, Fabrício Mezzomo Collares, Alex Gareau, Richard Bengt Price

Bibliographic record

VenueJournal of Esthetic and Restorative Dentistry · 2025
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsDalhousie University
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoDalhousie UniversityMitacsCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsIrradianceOpticsMaterials scienceIntegrating sphereCommon emitterAnalytical Chemistry (journal)PhysicsChemistryOptoelectronicsChromatography

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the effect of differences in the distances and radial positions of the tips of Light-Curing Units (LCU) on the irradiance values delivered. MATERIALS AND METHODS: Four LCUs-Valo X, Emitter A, CuringPen, and Pinkwave were tested at different distances from the tip (0, 2, 4, 6, 8 mm) and radial displacements (2 and 4 mm East, West, North, South). The radiant power (mW) and emission spectrum (mW/nm) were measured using an integrating sphere with a 4 mm aperture. Calibrated irradiance beam profiles were recorded across the tip using a laser beam analyzer. Data were analyzed with a two-way ANOVA at a significance level of 5%. RESULTS: , p > 0.05). The Valo X emitted the most homogeneous beam profile, irrespective of the distance. CONCLUSION: Variations of 2 or 4 mm in the radial tip position negatively affected irradiance values from the LCUs tested. CLINICAL SIGNIFICANCE: The radial position and LCU choice can significantly affect the irradiance delivered.

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)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.307
Teacher spread0.296 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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