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Record W2015052802 · doi:10.1097/id.0b013e31819b663f

Vertical and Horizontal Bone Augmentation with the Intraoral Autogenous J-Graft

2009· article· en· W2015052802 on OpenAlexaff
Hassan Moghadam

Bibliographic record

VenueImplant Dentistry · 2009
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsBuccal administrationBlood supplySoft tissueDentistryConnective tissueMedicineResorptionBone resorptionSurgery

Abstract

fetched live from OpenAlex

This article describes a technique to predictably reconstruct both horizontal and vertical bony defects with one graft, the autogenous J-graft. Bone harvested from the ramus is contoured in three dimensions resulting in both a horizontal and a vertical component. When there is inadequate soft tissue due to the increase in bone volume at time of augmentation, the bone graft is combined with a pedicle palatal connective tissue graft. This provides both a source of blood supply and soft tissue to the grafted site. There are several advantages to the J-graft technique; a single procedure can reconstruct complex three-dimensional defects and improve blood supply to the graft due to the larger buccal (horizontal) component in contact with the host bone which then supports the smaller occlusal (vertical) component. Finally, bone is added to interproximal sites as it curves from the buccal to the palatal against adjacent teeth. This supports the papilla at the future implant site. The autogenous J-graft is the ideal technique for augmentation in the esthetic zone with significant resorption that includes interproximal sites.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.583

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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

Citations42
Published2009
Admission routes1
Has abstractyes

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