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Record W2078154756 · doi:10.1364/ao.54.001852

Time-resolved 2D shrinkage field of dental resins using laser interferometry

2015· article· en· W2078154756 on OpenAlexaff
Ivan Kostylev, D. Labrie, Richard Bengt Price

Bibliographic record

VenueApplied Optics · 2015
Typearticle
Languageen
FieldDentistry
TopicDental materials and restorations
Canadian institutionsDalhousie University
Fundersnot available
KeywordsStylusOpticsShrinkageMaterials scienceInterferometryLaserMichelson interferometerProfilometerImage resolutionData acquisitionPhotodiodePhysicsComputer scienceAcousticsComposite materialSurface finish

Abstract

fetched live from OpenAlex

A Michelson interferometer-based approach was developed to accurately measure the axial shrinkage dynamics and topography of fast curing resin-based composites. The main components of the apparatus consist of a helium–neon laser and a charged coupled device camera with an acquisition rate of 122 frames per second capable of measuring shrinkage rates of up to 19.3  μm/s at a spatial resolution of 20.6 μm. The accuracy of the data obtained using this approach was determined by comparison with data obtained using spherical concave mirrors of known focal lengths, and with data collected using a photodiode and stylus-based profilometer.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.545

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 head0.029
GPT teacher head0.290
Teacher spread0.261 · 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 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

Citations8
Published2015
Admission routes1
Has abstractyes

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