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Record W2333485942 · doi:10.3928/23258160-20130130-03

Bilateral Multifocal Choroidal Melanosis: A Report of Two Cases

2013· article· en· W2333485942 on OpenAlexaff
Juan P. Velazquez-Martin, Hatem Krema, Chloe Gottlieb, E. Rand Simpson, Charles J. Pavlin

Bibliographic record

VenueOphthalmic surgery, lasers & imaging retina · 2013
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineAsymptomaticFluorescein angiographyOptical coherence tomographyPresentation (obstetrics)DermatologyDifferential diagnosisMelanosisOphthalmologyPathologyRadiologyVisual acuityMelanoma

Abstract

fetched live from OpenAlex

Flat choroidal pigmented lesions have few differential diagnoses but encompass a wide range of clinical presentations. The authors report two cases of bilateral multifocal choroidal hyper-pigmented patches discovered in asymptomatic patients. Fluorescein angiography showed a normal pattern without blockage in the hyperpigmented areas with an otherwise normal choroidal vascular architecture. Optical coherence tomography with enhanced depth imaging demonstrated normal choroidal thickness and structure in the hyperpigmented areas. These cases may represent an atypical presentation of previously described bilateral isolated choroidal melanocytosis or a different clinical entity. Histopathological evidence and longer follow-up of these patients and patients with isolated choroidal melanocytosis may elucidate the best descriptive term for this unusual condition.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0030.003
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.019
GPT teacher head0.301
Teacher spread0.282 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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