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Record W2974970548 · doi:10.15353/cjo.v81i3.1561

Un cas de glaucome à angle ouvert consécutif au syndrome de Posner-Schlossman

2019· article· fr· W2974970548 on OpenAlexvenueno aff
Andrew Rixon, Rebecca A. Wenig, Brittany N. Rigdon

Bibliographic record

VenueCanadian Journal of Optometry · 2019
Typearticle
Languagefr
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPhysicsMedicine

Abstract

fetched live from OpenAlex

Cette observation clinique présente le diagnostic et la prise en charge appropriés du syndrome de Posner-Schlossman (SPS) et de ses séquelles possibles. Le SPS se caractérise par des poussées unilatérales et récurrentes de pression intraoculaire fortement accrue. Bien que l’étiologie et la pathophysiologie de cette maladie chronique demeurent incertaines, sa durée est directement corrélée au risque de développer un glaucome secondaire à angle ouvert. Le patient et l’optométriste responsable doivent être conscients de la nécessité d’une intervention en temps opportun pendant les poussées aiguës, ainsi que du respect des soins longitudinaux pour préserver la fonction et la qualité de vie. Cette observation clinique et cet examen de cas soulignent l’impact de cette maladie.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.273
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2019
Admission routes1
Has abstractyes

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