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The 2010 IADR – Geriatric Oral Research Group satellite meeting

2012· article· en· W2168296263 on OpenAlexaboutno aff
Martin Schimmel

Bibliographic record

VenueGerodontology · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeriatric careSatelliteNursingAstronomy

Abstract

fetched live from OpenAlex

On 12 and 13 July, the 2010 IADR General Session satellite meeting of the IADR - Geriatric Oral Research Group (GORG) - was attended by around 60 participants in the beautiful surroundings of Sitges in the outskirts of Barcelona, Spain. The speakers reflected on the main topics 'Disparities and Expectations in Oral Healthcare: An Elderly Focus' and 'Risks and Benefits of Ageing with a Natural Dentition', which was followed by fruitful discussions in the auditorium and the jointly enjoyed meals. The Sitges meeting comprised lectures of distinguished speakers as well as poster presentations, which discussed and defined the situation of research in the field of gerodontology today as well as the development since the last GORG satellite symposium held on Vancouver Island in 1999. Despite enormous progress over the last 10 years, many important questions concerning economics, regulation, the implementation of oral health care, treatment protocols as well as general health implications of oral disease in the frail and elderly remain still unanswered.

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)0.009
metaresearch head score (Gemma)0.008
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.102
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.1020.052

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 head0.077
GPT teacher head0.391
Teacher spread0.314 · 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
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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