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Record W2152602406 · doi:10.1016/j.oooo.2015.03.002

The Canadian Systemic Sclerosis Oral Health Study IV: oral radiographic manifestations in systemic sclerosis compared with the general population

2015· article· en· W2152602406 on OpenAlexafffundabout
Marie Dagenais, David MacDonald, Murray Baron, Marie Hudson, Solène Tatibouet, Russell Steele, Sabrina Gravel, Shrisha Mohit, Tarek El Sayegh, Janet Pope, Audrey Fontaine, A. Masseto, Debora Matthews, Evelyn Sutton, Norman M.R. Thie, Niall Jones, Maria Copete, Dean A. Kolbinson, Janet Markland, Getúlio da Rocha Nogueira Filho, David Robinson, Mervyn Gornitsky

Bibliographic record

VenueOral Surgery Oral Medicine Oral Pathology and Oral Radiology · 2015
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversity of ManitobaUniversity of SaskatchewanUniversity of AlbertaAlberta Hospital EdmontonUniversity of TorontoDalhousie UniversityUniversité de SherbrookeWestern UniversityJewish General HospitalUniversity of British ColumbiaMcGill University
FundersCanadian Institutes of Health Research
KeywordsMedicineRadiographyMolarDentistryCondylePopulationInternal medicineOrthodonticsRadiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.092
GPT teacher head0.308
Teacher spread0.216 · 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.

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

Citations44
Published2015
Admission routes3
Has abstractno

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