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Record W7008600804

Characterization of translational regulation during long-term facilitation in «Aplysia»

2011· dissertation· en· W7008600804 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

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical and Physical Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAplysiaSf9TransfectionTranslational regulationCell cultureKinase
DOInot available

Abstract

fetched live from OpenAlex

Compartment-specific, differential regulation of eukaryotic elongation factor 2 and its kinase within Aplysia sensory neurons.I helped perform the experiment presented in Figure 3-2A, performed all other experiments, carried out all of the quantitation and analysis of the data, constructed all figures except Figure 3-1, and wrote most of a draft of the manuscript.Eugenia Pethoukov made and purified the eEF2K antibodies and performed the experiment in Figure 3-2A.Together, Xiaotang Fan, Matthew Carroll, Dana Murchison, Emilie Belley, and Andrew Heppner cloned Aplysia eEF2K and generated the eEF2K(WT) and eEF2K(S454A) baculovirus transfer and Aplysia expression constructs.Xiaotang Fan also transfected Sf9 cells in order to generate high titer baculoviruses.Wayne Sossin provided guidance in designing experiments, performed bioinformatics on eEF2K, made Figure 3-1, and commented on and helped revise a draft of the manuscript.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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