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Record W2316879545 · doi:10.1134/s1607672916010038

Recombinant 1F9 spidroin microgels for murine full-thickness wound repairing

2016· article· en· W2316879545 on OpenAlexfundno aff
М. М. Мойсенович, N. V. Malyuchenko, A. Yu. Arkhipova, А. В. Гончаренко, M. S. Kotlyarova, Л. И. Давыдова, Т.В. Васильева, В. Г. Богуш, И. И. Агапов, В. Г. Дебабов, М. П. Кирпичников

Bibliographic record

VenueDoklady Biochemistry and Biophysics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
FundersInstitute of GeneticsLomonosov Moscow State University
KeywordsDermisEpidermis (zoology)Wound healingRegeneration (biology)Recombinant DNAAnatomySkin repairSWEATChemistryCell biologyMedicineBiologySurgeryInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

The study of the stimulating effect of the microgels (MGs) based on recombinant 1F9 spidroin on the regeneration of the deep skin wound in mice was carried out. The use of spidroin MGs was shown to increase significantly the quality of healing compared to the control. The introduction of the MG in the wound edges led to recovery of all the structural elements of the skin: the epidermis, the dermis, including vascular and nervous network, in the periphery of the wound underlying muscles, and skin appendages (sebaceous and sweat glands and hair follicles) was revealed.

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 score0.003
Threshold uncertainty score0.595

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 head0.013
GPT teacher head0.245
Teacher spread0.232 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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