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Acute Macular Outer Retinopathy (AMOR): A Reappraisal of Acute Macular Neuroretinopathy Using Multimodality Diagnostic Testing

2011· article· en· W2137402234 on OpenAlexfundaboutno aff
Steven Yeh

Bibliographic record

VenueArchives of Ophthalmology · 2011
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
FundersOntario Institute for Cancer Research
KeywordsMedicineOphthalmologyRetinopathyDiabetic retinopathyOptometryDiabetes mellitus

Abstract

fetched live from OpenAlex

roid, corticosteroid, and sex hormone deficiencies). 6,19Radiation therapy greatly increases the lifelong risk of secondary malignant neoplasms (glioblastoma multiforme, malignant astrocytoma, meningioma, bone and soft-tissue sarcoma, and malignant melanoma) in children with TRB who are already predisposed to secondary cancers owing to their germline RB1 mutations. 20reatment of TRB using the Toronto Protocol and intrathecal topotecan combined with cytarabine, followed by consolidation with autologous peripheral stem cell transplant after supralethal chemotherapy avoids the need for radiation therapy and, in some instances, extends survival.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.318
Teacher spread0.259 · 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 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

Citations51
Published2011
Admission routes2
Has abstractyes

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