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Record W2108959020 · doi:10.5402/2012/762784

Evaluation of Sodium Hyaluronate Lubricating Drops Used before Insertion of Contact Lenses on Symptomatology, Severity, and Intensity of Ocular Dryness

2012· article· en· W2108959020 on OpenAlexaff
Langis Michaud, Benoît Frenette

Bibliographic record

VenueISRN Ophthalmology · 2012
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSodium hyaluronateContact lensSilicone hydrogelMedicineOphthalmologySiliconeLens (geology)SurgeryMaterials scienceOpticsComposite material

Abstract

fetched live from OpenAlex

Purpose. This study aimed to evaluate outcomes from the use of a sodium hyaluronate (SH)-based comfort drop, instilled before the insertion of contact lenses, in a population of symptomatic contact lens wearers. Methods. This was a cross-over, open-label, multi-sites study. Subjects were fitted with silicone hydrogel lenses and followed for two months. Before insertion of the lenses, SH drops was instilled in the lens for half of the group. The other half did the same on the second month. Objectives and subjective outcomes were measured and compared before from baseline with the ones collected after usage of SH drops.

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)0.001
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 score0.014
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.045
GPT teacher head0.325
Teacher spread0.280 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

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