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Record W2151334461

Salivary markers of systemic disease: noninvasive diagnosis of disease and monitoring of general health.

2002· article· en· W2151334461 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiseaseSalivaMedicineSystemic diseaseIntensive care medicineDiagnostic testOral healthPathologyInternal medicineFamily medicinePediatrics
DOInot available

Abstract

fetched live from OpenAlex

Because of interest in the link between oral and general health, clinicians are increasingly using salivary analyses to diagnose systemic disease and to monitor general health. The reason for this interest lies in the ability of new diagnostic tools, such as sensitive enzyme-linked immunosorbent assays, as well as other technologies, to distinguish a range of salivary components that are biomarkers for changes in the body's health. The noninvasive nature of salivary testing has made it an attractive and effective alternative to blood and urine testing, and home testing kits have made it possible for people to monitor their own health using this diagnostic medium. This paper explores what saliva can reveal about general health, drawing examples from recent research on salivary biomarkers of systemic illness and highlighting the current use, and potential clinical and research applications, of diagnostics based on oral fluids.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.335

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 head0.029
GPT teacher head0.239
Teacher spread0.210 · 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