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Record W2006520597 · doi:10.1126/scisignal.265pe21

Parkinson’s Disease: To Live or Die by Autophagy

2009· review· en· W2006520597 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

VenueScience Signaling · 2009
Typereview
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutophagyParkinson's diseaseDiseaseBiologyMedicineNeuroscienceCell biologyGeneticsInternal medicineApoptosis

Abstract

fetched live from OpenAlex

The identification of the molecular mechanisms underlying neuronal survival continues to be the subject of intensive research efforts as the incidence of age-related neurodegenerative diseases rises. Amid a complex mélange of environmental and genetic factors that contribute to disease manifestation, much effort has been dedicated to understanding the underlying signaling mechanisms that regulate neuronal survival. A recent study by Yang et al. sheds new light on an intracellular quality-control system that regulates the constitutive abundance of a neuronal survival factor through chaperone-mediated autophagy and links the deregulation of this pathway to Parkinson's disease. Although the primary function of autophagy in most cell types has commonly been thought to be an adaptive response to starvation, it has been proposed that proper functioning of this system is essential for neuronal survival and that its deregulation leads to neurodegeneration.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.050
GPT teacher head0.380
Teacher spread0.330 · 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