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Record W3006137058 · doi:10.1111/aej.12397

Viscoelastic and chemical properties of dentine after different exposure times to sodium hypochlorite, ethylenediaminetetraacetic acid and calcium hydroxide

2020· article· en· W3006137058 on OpenAlexaff
Y.‐L. Ng, Liam P. Reddington, Antony Berman, Jonathan C. Knowles, Showan N. Nazhat, K. Gulabivala

Bibliographic record

VenueAustralian Endodontic Journal · 2020
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsEthylenediaminetetraacetic acidSodium hypochloriteCalcium hydroxideCalciumSodium hydroxideViscoelasticityChemistrySodiumDentistryNuclear chemistryMaterials scienceInorganic chemistryChelationMedicineComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract This study aims to evaluate the viscoelastic and chemical properties of dentine after different durations of exposure to 5.25% NaOCl, 17% EDTA and Ca(OH) 2 solutions, and NaOCl in alternating combination with EDTA. Standard dentine bars were randomly assigned to: (i) formal‐saline control‐1; (ii) NaOCl; (iii) EDTA; (iv) NaOCl/EDTA; (v) formal‐saline control‐2; (vi) Ca(OH) 2 pH 12.6; and (vii) Ca(OH) 2 pH 9.8. Groups 1‐–4 underwent 10 min cycles of soaking and dynamic mechanical analysis up to 120 min. Groups 5–7 underwent similar tests at days 7, 14, 28 and 84. FTIR spectra of dentine discs exposed to the same regimens assessed surface chemistry. NaOCl or Ca(OH) 2 (pH 12.6) solutions reduced the organic (N‐H[1], N‐H[3], C=0) peak components of dentine. This study demonstrated that accumulative damage of dentine could be facilitated by alternated exposure to NaOCl and EDTA. Exposure of dentine to Ca(OH) 2 (pH12.6) for 7 days reduced viscous behaviour, inferring increased potential for fatigue failure.

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 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 score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.031
GPT teacher head0.250
Teacher spread0.218 · 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.

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

Citations12
Published2020
Admission routes1
Has abstractyes

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