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Periodontal tissue engineering and regeneration: Consensus Report of the Sixth European Workshop on Periodontology

2008· review· en· W1984049046 on OpenAlexaff
RM Palmer, Pierpaolo Cortellini

Bibliographic record

VenueJournal Of Clinical Periodontology · 2008
Typereview
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsPeriodontologyMedicineDentistryRegeneration (biology)Soft tissueGingival recessionPathologyBiology

Abstract

fetched live from OpenAlex

AIM: To review the scientific preclinical background and clinical studies of current methods of periodontal regeneration in the treatment of infrabony defects and soft tissue deficiencies. METHOD: Five commissioned review papers including two systematic reviews were scrutinized by a group of experts in order to derive consensus conclusions, clinical relevance/implications and to propose future research requirements. RESULTS: The following five papers were assessed: 1. Biological mediators and periodontal regeneration: a review of enamel matrix proteins at the cellular and molecular levels. 2. Regeneration of periodontal tissues: combination of barrier membranes and grafting materials - Biological foundation and preclinical evidence. 3. Clinical outcomes with bioactive agents alone or in combination with grafting or GTR 4. Treatment of gingival recession with coronally advanced flap procedures. A systematic review. 5. Soft tissue management at implant 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.053
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.053
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0040.005
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.125
GPT teacher head0.428
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations77
Published2008
Admission routes1
Has abstractyes

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