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Record W2007303961 · doi:10.1016/j.oooo.2012.01.012

Intraoral electrostimulator for xerostomia relief: a long-term, multicenter, open-label, uncontrolled, clinical trial

2012· article· en· W2007303961 on OpenAlex
Ivan Alajbeg, Denise Pinheiro Falcão, Simon D. Tran, Rafael Martı́n-Granizo, Gloria Inés Lafaurie, Domenica Matranga, Slavica Pejda, Lea Vuletić, Rubén D. Mantilla, Soraya Coelho Leal, Ana Cristina Barreto Bezerra, Henri A. Ménard, Suguru Kimoto, Shaoxia Pan, L. Maniegas, Cheryl A. Krushinski, Dario Melilli, Giuseppina Campisi, Carlo Paderni, Gloria Rocío Bautista Mendoza, Juan F. Yepes, Liselott Lindh, Meltem Koray, Gonca Mumcu, Itai Zeevi, Beatríz Catalina Aldape Barrios, R. Sanchez, Claire Lassauzay, Olivier Fromentin, Ben Z. Beiski, Frank Peter Strietzel, Yrjö T. Konttinen, Ändy Wolff, Susan L. Zunt

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".

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

VenueOral Surgery Oral Medicine Oral Pathology and Oral Radiology · 2012
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicineSwallowingOpen labelClinical trialMulticenter studyDentistryRandomized controlled trialPhysical therapySurgeryInternal medicine

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.118
GPT teacher head0.408
Teacher spread0.290 · 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