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Record W2298673331 · doi:10.1134/s1607672915040109

Novel 3D-microcarriers from recombinant spidroin for regenerative medicine

2015· article· en· W2298673331 on OpenAlexfundno aff
Mikhail M. Moisenovich, N. V. Malyuchenko, A. Yu. Arkhipova, M. S. Kotlyarova, Л. И. Давыдова, А. В. Гончаренко, О. И. Агапова, Marina S. Drutskaya, В. Г. Богуш, И. И. Агапов, В. Г. Дебабов, М. П. Кирпичников

Bibliographic record

VenueDoklady Biochemistry and Biophysics · 2015
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
FundersInstitute of Genetics
KeywordsMicrocarrierRegenerative medicineRecombinant DNABiochemical engineeringBiologyChemistryCell biologyStem cellEngineeringBiochemistryCell

Abstract

fetched live from OpenAlex

Microcarriers generated from recombinant spidroin 1F9 are suitable for use as an injection material. The microcarriers were a heterogeneous mixture of microgel particles ranging from 50 to 300 µm in size with the predominance of particles of 50-150 µm. The surface of these microparticles had a complex topography and ensured efficient cultivation of primary and immortalized fibroblasts. Intradermal injections of microgel suspensions into the area of full-thickness skin wounds did not lead to the development of acute inflammation in mice; instead, they accelerated the recovery of skin tissue and stimulated neurogenesis and angiogenesis.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.599

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 head0.030
GPT teacher head0.269
Teacher spread0.239 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

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