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Record W4392796316 · doi:10.1097/iae.0000000000004098

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2024· letter· en· W4392796316 on OpenAlexaboutno aff
Dhananjay Shukla, Jay Kalliath, Anuradha Dhawan

Bibliographic record

VenueRetina · 2024
Typeletter
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsRetinalTamponadeOphthalmologyMedicineOctaneChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

1Ratan Jyothi Netralaya, India 2NMC Specialty Hospital, UAE 3Clinical Research Associate, Vitreous Retina Macula Specialists of Toronto, Canada ADDRESS FOR CORRESPONDENCE Dhananjay Shukla, Ratan Jyoti Netralaya, 18 Vikas Nagar, Gwalior 474002 INDIA Ph.: 91-751-2423350-51; Fax: 91-751-4070921; E-mail: [email protected] CONFLICT OF INTEREST: No conflicting relationship exists for the authors. FINANCIAL SUPPORT: NONE; no funding received from NIH; Wellcome Trust; HHMI; or others.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.114
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2024
Admission routes1
Has abstractyes

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