MétaCan
Menu
Back to cohort
Record W3195957001 · doi:10.1039/d1tb01368h

Controlling the semi-permeability of protein nanocapsules influences the cellular response to macromolecular payloads

2021· article· en· W3195957001 on OpenAlexaff
Marina Machtakova, Sebastian Wirsching, Stephan Gehring, Katharina Landfester, Héloïse Thérien‐Aubin

Bibliographic record

VenueJournal of Materials Chemistry B · 2021
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsMemorial University of Newfoundland
FundersMax-Planck-GesellschaftElse Kröner-Fresenius-StiftungDeutsche Forschungsgemeinschaft
KeywordsNanocapsulesMacromoleculeMaterials sciencePermeability (electromagnetism)BiophysicsNanotechnologyChemical engineeringChemistryBiologyBiochemistryNanoparticleEngineeringMembrane

Abstract

fetched live from OpenAlex

We designed and prepared degradable protein nanocapsules to address the limitations present during the release of macromolecular payloads. The optimized nanocapsules were used to deliver and release a bioactive macromolecular adjuvant in vitro .

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 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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.227
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Materials Chemistry BSame topicNanoparticle-Based Drug DeliveryFrench-language works237,207