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Record W2994949787 · doi:10.1177/0022034519889050

<i>The Lancet</i> Oral Health Series: Implications for Oral and Dental Research

2019· article· en· W2994949787 on OpenAlexaff
Richard G. Watt, Blánaid Daly, Paul Allison, L.M.D. Macpherson, Renato Venturelli, Stefan Listl, Robert J. Weyant, Manu Raj Mathur, Carol C Guarnizo-Herreño, Roger Keller Celeste, Marco Aurélio Peres, Cristin Kearns, Habib Benzian

Bibliographic record

VenueJournal of Dental Research · 2019
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsMcGill University
FundersNational Institute for Health and Care Research
KeywordsOral healthOral historyPublic healthDental researchFront coverMedicineFront (military)Family medicineHistoryDentistryCover (algebra)GeographyNursing

Abstract

fetched live from OpenAlex

“Oral health matters” was the clear and emphatic message on the front cover of The Lancet on July 20, 2019. In this single issue of The Lancet, in addition to the front cover, oral health was the focus of an editorial (The Lancet 2019), an Oral Health Series comprising 2 major papers (Peres et al. 2019; Watt et al. 2019), 2 associated commentaries (Beaglehole and Beaglehole 2019; Kearns and Bero 2019), a perspective piece on the historical origins of modern dentistry (Barnett 2019), and a profile of a dental public health researcher (Davies 2019). Never before in the 196-year history of The Lancet—one of the most prestigious medical journals in the world—has oral health been given such a high profile. This is, without doubt, a watershed moment for global oral health. It is also, however, a profoundly important opportunity for the oral and dental research community. This commentary highlights the key messages from The Lancet Oral Health Series and considers the implications for the oral and dental research agenda globally.

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)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.207
GPT teacher head0.537
Teacher spread0.330 · 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

Citations41
Published2019
Admission routes1
Has abstractyes

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