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Record W4400932392 · doi:10.1922/ejprd_2693price10

An Assessment of 1067 Light Curing Units Measured Twice Between 2015 and 2021

2024· article· en· W4400932392 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Journal of Prosthodontics and Restorative Dentistry · 2024
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCuring (chemistry)Materials scienceEnvironmental scienceComposite material

Abstract

fetched live from OpenAlex

INTRODUCTION: The physical condition of the tip and the irradiance of LCUs used in dental offices in the United States and Canada was assessed twice. METHODS: The tip irradiance and physical condition of the tip of 1067 LCUs from 544 dental clinics were assessed twice between 2015 and 2021 using the CheckMARC (BlueLight) radiometer. The irradiance values were compared by paired Student's t-test (α = 0.05). RESULTS: There was a wide range of irradiance values (200 to 3,777 mW/cm²). At the first assessment, only 26% of the LCUs had no visible damage or debris on the LCU tip. When retested up to 36 months later, 70% of the LCUs had their tip damage or debris issues entirely or partially resolved. 2.6% of the LCUs delivered an irradiance below 500 mW/cm² on the first and 1.6% on the second assessments. For the 5 brands that had a sufficient sample size, it was concluded that the irradiance increased when the tip damage or presence of tip debris was resolved. CONCLUSIONS: Initially, most LCUs (74%) had at least one problem related to damage or debris on the LCU tip. The irradiance increased when the tip damage or debris was resolved.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.094
GPT teacher head0.425
Teacher spread0.331 · 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