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The JCRS 100 Club

2025· article· en· W4416452147 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)ClubKingdomGerman

Abstract

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The JCRS 100 Club The 100 Club acknowledges those who have reviewed 100 or more manuscripts for the journal. We give our heartfelt thanks for their time and contribution toward making the journal the prestigious publication it is. We could not have done it without them. All members are listed below; those new in 2025 are shown inboldface. Marco Alberti, MD, Milano, Italy Jorge L. Alió, MD, PhD, Alicante, Spain David Allen, FRCOphth, Sunderland, United Kingdom Noel Alpins, MD, Cheltenham, Victoria, Australia Rana Altan-Yaycioglu, MD, FEBO, Adana, Turkey Lisa B. Arbisser, MD, Sarasota, Florida Paul N. Arnold, MD, Ashland, Oregon Steve A. Arshinoff, MD, FRCSC, Toronto, Ontario, Canada Ehud I. Assia, MD, Kfar-Saba, Israel Gordon Balazsi, MD, Mount-Royal, Quebec, Canada James Banta, MD, Miami, Florida George Beiko, MD, St. Catharines, Ontario, Canada Roberto Bellucci, MD, Salò, Italy Hiroko Bissen-Miyajima, MD, PhD, Tokyo, Japan James C. Bobrow, MD, Clayton, Missouri Sandra M. Brown, MD, Concord, North Carolina Jens Buehren, MD, Hanau, Germany Massimo Busin, MD, Forli, Italy David F. Chang, MD, Los Altos, California Soon-Phaik Chee, FRCS(G), FRCOphth(UK), FRCS(Ed), Singapore, Singapore Alan S. Crandall, MD, Salt Lake City, Utah Wayne Crewe-Brown, MBChB, MMed(Ophth), St. Briavels, United Kingdom Daniel G. Dawson, MD, Gainesville, Florida Mohammad Reza Djodeyre, MD, PhD, Zaragoza, Spain William J. Dupps, MD, PhD, Cleveland, Ohio Timo Eppig, PhD, Homburg, Germany Oliver Findl, MD, Vienna, Austria José Luis Güell, MD, Barcelona, Spain David R. Hardten, MD, Minnetonka, Minnesota Ken Hayashi, MD, Fukuoka City, Japan Nino Hirnschall, MD, Vienna, Austria Kenneth J. Hoffer, MD, Santa Monica, California Richard Hoffman, MD, Eugene, Oregon Jack T. Holladay, MD, Bellaire, Texas Farid Karimian, MD, Tehran, Iran Douglas D. Koch, MD, Houston, Texas L. Stephen Kwok, PhD, Sydney, Australia Stephen S. Lane, MD, Stillwater, Minnesota Richard L. Lindstrom, MD, Bloomington, Minnesota Samuel Masket, MD, Los Angeles, California Rupert Menapace, MD, Vienna, Austria Robert Montés-Micó, PhD, Valencia, Spain Jonathan E. Moore, FRCOphth, PhD, Belfast, United Kingdom Majid Moshirfar, MD, Draper, Utah Kristian Næser, MD, Randers, Denmark Mayank A. Nanavaty, MBBS, DO, FRCOphth, PhD, Brighton United Kingdom Thomas F. Neuhann, MD, Munich, Germany Rudy M.M.A. Nuijts, MD, PhD, Maastricht, the Netherlands Thomas Olsen, MD, PhD, Aarhus N, Denmark Randall J. Olson, MD, Salt Lake City, Utah Tetsuro Oshika, MD, Tsukuba, Japan Seth M. Pantanelli, MD, MD, Hershey, Pennsylvania Konrad Pesudovs, PhD, Adelaide, Australia Marcony R. Santhiago, MD, PhD, São Paulo, Brazil Giacomo Savini, MD, Rome, Italy H. John Shammas, MD, Lynwood, California David J. Spalton, FRCP, FRCS, FRCOphth, London, United Kingdom R. Doyle Stulting, MD, PhD, Atlanta, Georgia Rupal H. Trivedi, MD, Charleston, South Carolina Karel Van Keer, MD, PhD, Leuven, Belgium Abhay R. Vasavada, MS, FRCS, Ahmedabad, India Li Wang, MD, PhD, Houston, Texas Theodore P. Werblin, MD, PhD, Princeton, West Virginia Liliana Werner, MD, PhD, Salt Lake City, Utah Diego Zamora-de la Cruz, MD, Ciudad de Mexico, Mexico Charlotta Zetterström, MD, Stockholm, Sweden

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.272
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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