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Record W2769325156 · doi:10.1097/icb.0000000000000660

PARANEOPLASTIC VITELLIFORM MACULOPATHY ASSOCIATED WITH METASTATIC MELANOMA

2017· article· en· W2769325156 on OpenAlex
Mansour Rahimi, Eduardo V. Navajas, David Sarraf

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

VenueRetinal Cases & Brief Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaculopathyMedicineOptical coherence tomographyFluorescein angiographyOphthalmologyFundus (uterus)AutofluorescenceRetinalDermatologyRetinopathyOpticsFluorescence

Abstract

fetched live from OpenAlex

PURPOSE: To report a case of paraneoplastic vitelliform maculopathy in a patient with metastatic melanoma of unknown primary site. METHODS: Case report. Main outcome measures include funduscopic examination, fluorescein angiography, fundus autofluorescence, and spectral domain optical coherence tomography. RESULTS: A 44-year-old man with a known history of metastatic melanoma was referred for ophthalmic evaluation because of bilateral vision loss. Funduscopic examination was remarkable for vitelliform maculopathy that was confirmed with fundus autofluorescence and spectral domain optical coherence tomography. CONCLUSION: We describe a rare case of paraneoplastic vitelliform maculopathy. There are many etiologies of acquired vitelliform retinal lesions in the retina. Multimodal retinal imaging, including fundus autofluorescence and spectral domain optical coherence tomography, can be best used to identify these lesions. A history of systemic metastatic melanoma should be ruled out in patients with vitelliform maculopathy.

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)0.001
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 score0.221
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.300
Teacher spread0.275 · 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