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Record W4402852460 · doi:10.3389/fbioe.2024.1476088

Editorial: Advanced biomaterials for hard tissue repair and regeneration

2024· editorial· en· W4402852460 on OpenAlexaff
Hongye Yang, Dandan Pei, Wenjie Zhang, Jian Yu

Bibliographic record

VenueFrontiers in Bioengineering and Biotechnology · 2024
Typeeditorial
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRegeneration (biology)Hard tissueTissue repairTissue engineeringCell biologyBiomedical engineeringBiologyMedicineSurgery

Abstract

fetched live from OpenAlex

characteristics and excellent mechanical properties, hard tissues play important roles for human body, such as health protection, movement support, and food mastication.Once hard tissue defect occurs, our living quality will be seriously affected. In general, hard tissues lack the ability of self-repair, except for the regeneration ability of bone for small-scale defects. As a result, the past few decades have witnessed great progress in the field of biomaterials for hard tissue repair. Actually, both bone and tooth are masterpieces of biomineralization in nature, the repair and regeneration of hard tissues should be performed in a biomimetic way. Therefore, this collection provides a comprehensive overview of the current state of the art regarding advanced biomaterials used to repair or regenerate damaged hard tissues, as well as to highlight the most promising advanced strategies other than suggest the future direction in the field. In the present Research Topic, 154 authors from all over the world decided to publish their outstanding and promising results.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.000
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 head0.004
GPT teacher head0.211
Teacher spread0.207 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2024
Admission routes1
Has abstractyes

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