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Retinoblastoma Outcomes in the Americas: A Prospective Analysis of 491 Children With Retinoblastoma From 23 American Countries
Jesse L. Berry, Sarah Pike, Archeta Rajagopalan, Mark W. Reid, Ido Didi Fabian, Armin R. Afshar, Amanda Alejos, Ernesto Alemany-Rubio, Yvania Alfonso Carreras, Mattan Arazi, Nick Astbury, Covadonga Bascarán, Elaine M. Binkley, Sharon Blum, H. Culver Boldt, Maria Teresa B.C. Bonanomi, Richard Bowman, Rachel C. Brennan, Matthew J. Burton, Patricia Calderón-Sotelo, Doris A. Calle Jara, Miriam R. Cano, Luis Castillo, Isabel Cavieres, Doris Quiroz Cerna, Arthika Chandramohan, Guillermo Chantada, Timothy W. Corson, Kristin E. Cowan-Lyn, Jacquelyn M. Davanzo, Hakan Demirci, Rosdali Díaz Coronado, Helen Dimaras, Carla Macedo, Connor Ericksen, Adriana Fandiño, Delia D. P. G. Fernández, Allen Foster, Ligia D. Fu, Soad Fuentes-Alabí, Juan Luis Garcı́a, Henry N. Garcia Pacheco, Ana V. Girón, Marco A. Goenz, Aaron S. Gold, Nir Gomel, Efren Gonzalez, Graciela González Pérez, Liudmira González-Rodríguez, Jaime Graells, Nathália Grigorovski, Patrick Hamel, Eric Hansen, J. William Harbour, M. Elizabeth Hartnett, Muhammad Hassan, G. Baker Hubbard, Noa Kapelushnik, Jonathan W. Kim, Scott A. Larson, Kelly D. Laurenti, Amy A. Leverant, Cairui Li, Juan Pablo López, Sandra Luna‐Fineman, George N. Magrath, Ashwin Mallipatna, Clarissa Mattosinho, Marilyn B. Mets, Audra K. Miller, Prithvi Mruthyunjaya, Timothy G. Murray, Scott C. N. Oliver, Joaquín I. Oporto, Miriam Ortega-Hernández, D. Ossandón, Claudia R. Pascual Morales, Katherine Paton, David A. Plager, Rodrigo A. Polania, Jimena Ponce, D. Karina Quintero, Aparna Ramasubramanian, Marco A. Ramírez‐Ortiz, Jasmeen Randhawa, Livia Romero, Beatriz Salas, Gissela Sanchez, Alma Janeth Sanchez Orozco, Mariana Sgroi, Ankoor S. Shah, Carol L. Shields, Arun D. Singh, Alison H. Skalet, Andrew W. Stacey, Erin D. Stahl, Caron Strahlendorf, Maria Estela Coleoni Suarez, Rosanne Superstein, Fanny F. Tarrillo Leiva, Luiz Fernando Teixeira, Ogul E. Uner, Jacqueline Karina Vasquez Anchaya, Leon O. Vaughan, Víctor M. Villegas, Matthew W. Wilson, Antonio Yaghy, Roberto I. Yee, Marcia Zondervan
Bibliographic record
VenueAmerican Journal of Ophthalmology · 2023
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsBC Children's HospitalUniversity of British ColumbiaUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineHospital for Sick Children
FundersNational Cancer InstituteNational Institutes of HealthQueen Elizabeth Diamond Jubilee TrustResearch to Prevent BlindnessChildren’s Oncology GroupÖgonfondenAlex's Lemonade Stand Foundation for Childhood CancerKnights Templar Eye Foundation
KeywordsMedicineRetinoblastomaHazard ratioProspective cohort studyProportional hazards modelInternal medicineYoung adultPediatricsConfidence interval
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.784
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.010
GPT teacher head0.310
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Citations15
Published2023
Admission routes1
Has abstractno