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Record W1936501873 · doi:10.1039/c5ib90041g

Making it stick: the role of structural design in implantable technologies

2015· article· en· W1936501873 on OpenAlexaff
Wontae Lee, Richard L. Leask, Christopher Moraes

Bibliographic record

VenueIntegrative Biology · 2015
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsMcGill University
Fundersnot available
KeywordsFunction (biology)Key (lock)Computer scienceInterface (matter)Design elements and principlesHuman bodyField (mathematics)Human healthEmerging technologiesFocus (optics)Risk analysis (engineering)Systems engineeringWork (physics)NanotechnologyHuman–computer interactionEngineeringMedicineMechanical engineeringBiologyComputer securityMaterials science

Abstract

fetched live from OpenAlex

Designing technologies that work within the human body requires innovation at the interface of biology, engineering, and material sciences. The human body presents a surprisingly hostile environment towards technologies designed to improve health, and recent approaches to these problems have leveraged the links between material form and function to improve implantable systems. The use of physical structure has emerged as a key design parameter in developing these systems, and has recently been applied to make significant progress in the field. Here, we highlight recent studies that demonstrate the innovative use of structure in the design of technologies meant to operate within the human body, with a specific focus on improving their biointegration, delivery, and functionality.

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)0.001
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 score0.132
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.063
GPT teacher head0.347
Teacher spread0.285 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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