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Record W2109054801 · doi:10.4317/jced.50877

The TORONTO PROSTHESIS, an appealing method for restoring patients candidates for hybrid overdentures: A case report

2012· article· en· W2109054801 on OpenAlexaboutno aff
Javier Montero, C. Macedo de Paula, Alberto Albaladejo

Bibliographic record

VenueJournal of Clinical and Experimental Dentistry · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsRetrievabilityProsthesisDentistryBridge (graph theory)AbutmentRehabilitationImplantCementation (geology)OrthodonticsComputer scienceMedicineEngineeringMaterials scienceSurgeryPhysical therapyWorld Wide Web

Abstract

fetched live from OpenAlex

The implant is a therapeutic resource in constant evolution, and the different types of implants and techniques have been increasingly used in cases of both fully or partially edentulous patients. In some cases they provide more conservative treatment, and in others better stability, retention, and function. To achieve a satisfactory result, there are several factors that should be taken into account: the type and quality of the bone, bone density, the placement location of implants, retrievability of restorations, the patient's motivation, and economic issues. Trainees should be aware of the limitations of the techniques that can be used for successful prosthetic rehabilitation. This work describes the prosthetic rehabilitation of a fully edentulous mandible treated with dental implants using the 'Toronto Bridge" technique for restoring both function and aesthetics. This type of prosthesis is a screwed-in mesostructure with milled abutments for the cementation of single or multiple suprastructures. This device could also be named "abutment-hybrid overdenture" The main advantages and disadvantages of this protocol are discussed. Key words:Implant-supported restorations, dental implants.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.070
GPT teacher head0.473
Teacher spread0.403 · 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

Citations28
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical and Experimental DentistrySame topicDental Implant Techniques and OutcomesFrench-language works237,207