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Record W2107429225 · doi:10.1002/iub.334

Trafficking and signaling in mammalian autophagy

2010· review· en· W2107429225 on OpenAlexaff
Sharon A. Tooze, Harold B.J. Jefferies, Eyal Kalie, Andrea Longatti, Fiona E McAlpine, Nicole C. McKnight, Andrea Orsi, Hannah E.J. Polson, Minoo Razi, Deborah J. Robinson, Jemma L. Webber

Bibliographic record

VenueIUBMB Life · 2010
Typereview
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsAutophagyCell biologyEndosomeOrganelleCytosolLysosomeBiologyHomeostasisChemistryBiochemistryIntracellularApoptosisEnzyme

Abstract

fetched live from OpenAlex

Macroautophagy, here called autophagy, is literally a "self-eating" catabolic process, which is evolutionarily conserved. Autophagy is initiated by cellular stress pathways, resulting in the sequestration or engulfment of cytosolic proteins, membranes, and organelles in a double membrane structure that fuses with endosomes and lysosomes, thus delivering the sequestered material for degradation. Autophagy is implicated in a number of human diseases, many of which can either be characterized by an imbalance in protein, organelle, or cellular homeostasis, ultimately resulting in an alteration of the autophagic response. Here, we will review the recent progress made in understanding the induction of autophagy, with emphasis on the contributions from our laboratory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.004

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 head0.045
GPT teacher head0.353
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations37
Published2010
Admission routes1
Has abstractyes

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