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Record W2107866180 · doi:10.2174/1566524010606070759

Insights from Animal Models on the Origins and Progression of Retinoblastoma

2006· review· en· W2107866180 on OpenAlex

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

VenueCurrent Molecular Medicine · 2006
Typereview
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsRetinoblastomaRetinoblastoma proteinSuppressorBiologyGeneFunction (biology)Mechanism (biology)Cancer researchTumor suppressor geneGeneticsCell cycleCarcinogenesisPhilosophy

Abstract

fetched live from OpenAlex

The RB gene was discovered 20 years ago because of its role in the childhood eye cancer retinoblastoma. However, surprisingly little progress was made in defining the role of RB protein in the retina. In the last two years, new models exploiting conditional deletion of the mouse Rb gene have altered this picture radically. These models provide insight into the first Rb function, the cell of origin of retinoblastoma, the window during which Rb acts, distinct cell-specific defenses against Rb loss, the number and type of post-Rb lesions required for transformation, why pediatric tumors exist, the controversial role of the p53 pathway in retinoblastoma, and the reason why the disease is virtually unique to humans. Two years have dramatically improved our understanding of Rb function in the tissue that gave us this important tumor suppressor.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.386
Teacher spread0.325 · 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