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Record W4392050224 · doi:10.22533/at.ed.1594212420024

EVALUATION OF THE NUMBER OF CANALS MODELED WITH PRODESIGN M FILES UP TO THEIR FRACTURE IN “EX VIVOS” LOWER TEETH”

2024· article· en· W4392050224 on OpenAlexaboutno aff
Ana Angélica dos Santos, Fernanda Patricia Leite de Almeida, José Agostinho Blatt, Ricardo Ferreira, Cassiano Neves Almeida

Bibliographic record

VenueInternational Journal of Health Science · 2024
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsApical foramenFracture (geology)DentistryPremolarRoot canalOrthodonticsDental instrumentsTooth FractureGeologyMedicineMathematicsMolarGeotechnical engineering

Abstract

fetched live from OpenAlex

This work aimed to evaluate the number of canals modeled with ProDesign M (PDM) files until their fracture in mandibular premolars "ex vivo".An "ex vivo" experimental study was carried out on 40 extracted lower premolar teeth with similar curvatures, containing a single canal in each tooth.An endodontic opening was made on the occlusal surface of each dental element.The selected teeth were intact and healthy.Elements with endodontic treatment, with calcified canal and with accentuated curvature were excluded from the research.Initially, the dental elements were numbered from 1 to 40, the radiographic image of each canal was obtained and they were identified with the respective numbers.Two sets of PDM file instruments were used, each containing three files: 15/05, 25/01 and 25/06, 25 millimeters long.The preparation sequence was 6/25 up to 3 millimeters below the Apparent Tooth Length (CAD), simulating the Exploration Working Length (CTEx).After that, the sequence of files 25/01, 15/05 and 25/06 continued until the tip of each instrument passed one millimeter beyond the apical foramen.After using each file, it was visually evaluated with a millimeter ruler (Dia Dent Group International, Inc., Vancouver, British Columbia, Canada), and checked for the presence of fracture or deformation of the spirals.When an instrument fractured, it was discarded and replaced with an identical one from set number 2, and instrumentation of the canals continued until all three instruments fractured.During data collection, they were entered, stored and tabulated in a database in the Microsoft Excel 2016 program (Microsoft Corporation, Redmond, WA).The total and average number of turns given with the 15/05, 25/01 and 25/06 files until the fracture was analyzed and calculated.Therefore, the PDM files demonstrated a good result in relation to the tested dental elements, since the 15/05 and 25/06 files achieved, respectively, a total of 170 and 985 turns on 27 and 40 teeth and had an average number of turns 6.29 and 24.62 per "ex vivo" single-rooted mandibular premolar tooth modeled in the crown-apex technique without the occurrence of fracture.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.062
GPT teacher head0.425
Teacher spread0.362 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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