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Record W1979181300 · doi:10.1080/13816810902788974

Why do Cone Photoreceptors Die in Rod-Specific Forms of Retinal Degenerations?

2009· review· en· W1979181300 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

VenueOphthalmic Genetics · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsAutophagyRetinitis pigmentosaRetinalRetinaProgrammed cell deathBiologyCell biologyRetinal degenerationPI3K/AKT/mTOR pathwayNeuroscienceApoptosisOphthalmologyGeneticsMedicineSignal transductionBiochemistry

Abstract

fetched live from OpenAlex

Retinal degenerations such as retinitis pigmentosa (RP) lead to rod death due to apoptotic cell death, initiated by mutations in retinal genes that encode proteins with crucial photoreceptors functions. The mechanism(s) of cone death have remained elusive until this study. Using a combination of animal models of human RP, Affymetrix expression array studies, RT-PCR and immunohistochemical analyses, Punzo et al. determined that cone death is due to nutritional deficiencies, starration, and autophagy driven by the insulin/mTOR pathway. These novel and exciting seights also provide alternative avenues for therapeutic interventions for cone rescue.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.029
GPT teacher head0.296
Teacher spread0.267 · 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