MétaCan
Menu
Back to cohort

Fundus fluorescein angiography in Susac’s syndrome

2017· editorial· en· W2747425848 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePractical Neurology · 2017
Typeeditorial
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsFundus fluorescein angiographyFluoresceinFluorescein angiographyOphthalmologyFundus (uterus)MedicineRetinalFluorescenceOptics

Abstract

fetched live from OpenAlex

A 41-year-old woman was diagnosed with Susac’s syndrome in 2012, having presented with confusion, headache, hearing loss and retinal arteriolar occlusions. Her MR scan of the brain showed several T2 hyperintensities in the corpus callosum and she was treated with cyclophosphamide. She was admitted 3 years later with a 4-week history of cognitive deterioration and visual loss, but with no new MR brain scan changes. Her Montreal Cognitive Assessment (MoCA) had fallen from a baseline of 22/30 to 16/30, while her Snellen central visual acuity had fallen from 6/6 bilaterally to 6/24 in the right eye and 6/36 in the left eye. Retinal photography and fundus fluorescein angiography showed bilateral, superotemporal branch retinal artery occlusions with macular ischaemia (figures 1 and 2). Figure 1 Colour retinal image of the right eye (Optomap) showing pallor and nerve fibre layer swelling due to retinal ischaemia within the distribution of the superotemporal …

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
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 integrity0.0010.004
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 head0.022
GPT teacher head0.348
Teacher spread0.326 · 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