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Record W2117467417 · doi:10.4172/1948-5948.1000066

Evaluation of C. albicans Adhesion and Growth on Restorative Dental Materials Enriched or not with Fluoride

2012· article· en· W2117467417 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Microbial & Biochemical Technology · 2012
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaNational Institutes of Health
KeywordsFluorideAdhesionCorpus albicansCandida albicansDentistryMaterials scienceMicrobiologyChemistryBiologyMedicineComposite materialInorganic chemistry

Abstract

fetched live from OpenAlex

Candida albicans (C. albicans) is the most prevalent fungus in the human oral cavity and has been known as the primary cause of denture-related stomatitis. Candida cells have a high adhering potential to dental material in almost the same manner as to oral tissues, and they are known to form biofilm that leads to C. albicans resistance against antifungal drugs. The aim of this study was to investigate C. albicans adhesion and growth on different restorative dental materials and studied the effect of fluoride on C. albicans growth and morphological transition. To this end, C. albicans (Sc 5314) was cultured on acrylic resins, composite resin, and glass-ionomer materials. Growth was analyzed at various times using scanning electron microscopy analyses and cell proliferation assay. The effect of different concentrations (50 and 100 ppm) of exogenous fluoride on C. albicans growth and yeast-to-hyphae transition was investigated.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.032
GPT teacher head0.317
Teacher spread0.285 · 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