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Record W2766157034 · doi:10.1186/s12915-017-0432-0

Membrane dynamics and organelle biogenesis—lipid pipelines and vesicular carriers

2017· article· en· W2766157034 on OpenAlexafffund
Christopher J. Stefan, William S. Trimble, Sergio Grinstein, Guillaume Drin, Karin M. Reinisch, Pietro De Camilli, Sarah Cohen, Alex M. Valm, Jennifer Lippincott‐Schwartz, Tim P. Levine, David B. Iaea, Frederick R. Maxfield, Clare E. Futter, Emily R. Eden, Delphine Judith, Alexander R. van Vliet, Patrizia Agostinis, Sharon A. Tooze, Ayumu Sugiura, Heidi M. McBride

Bibliographic record

VenueBMC Biology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsMcGill UniversitySickKids FoundationMontreal Neurological Institute and HospitalHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesNational Institute on Drug AbuseBiotechnology and Biological Sciences Research CouncilCanadian Institutes of Health ResearchGenentechNational Institutes of HealthCentre National de la Recherche ScientifiqueFrancis Crick InstituteKU LeuvenUniversity of TorontoWeill Cornell Medical CollegeFonds Wetenschappelijk OnderzoekHospital for Sick ChildrenWellcome TrustMcGill UniversityCancer Research UKYale UniversityMedical Research CouncilHoward Hughes Medical Institute
KeywordsOrganelleBiologyBiogenesisVesicular transport proteinOrganelle biogenesisCell biologyVesicleMembrane contact siteMembrane proteinMembraneBiochemistryIntegral membrane protein

Abstract

fetched live from OpenAlex

Discoveries spanning several decades have pointed to vital membrane lipid trafficking pathways involving both vesicular and non-vesicular carriers. But the relative contributions for distinct membrane delivery pathways in cell growth and organelle biogenesis continue to be a puzzle. This is because lipids flow from many sources and across many paths via transport vesicles, non-vesicular transfer proteins, and dynamic interactions between organelles at membrane contact sites. This forum presents our latest understanding, appreciation, and queries regarding the lipid transport mechanisms necessary to drive membrane expansion during organelle biogenesis and cell growth.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.010
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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 designTheoretical or conceptual
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

Citations91
Published2017
Admission routes2
Has abstractyes

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