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Record W4403261359 · doi:10.1016/j.polymer.2024.127691

Chemical enhancements and advanced manufacturing methods of Poly(Lactic acid) for tissue engineering applications

2024· article· en· W4403261359 on OpenAlexafffund
Cole Martin Fredericks, Joshua Kunihiro, Hanjia Zheng, Naweed Rizwan Waghu, Milad Kamkar

Bibliographic record

VenuePolymer · 2024
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLactic acidTissue engineeringMaterials sciencePolymer scienceBiochemical engineeringManufacturing engineeringBiomedical engineeringEngineeringBiologyBacteria

Abstract

fetched live from OpenAlex

Poly(lactic acid) (PLA) is a highly versatile biobased polymer with significant promise as a 3D-printable material for tissue engineering applications. PLA is sustainably produced at low cost, and exhibits properties such as biodegradability, biocompatibility, appreciable mechanical properties, and its potential for modification by a multitude of different additives and processing methods. This work provides an overview of recent research on the advanced manufacturing of PLA for tissue engineering applications. It also covers most widely used additives and surface modifications to PLA, the effects of different processing methods, and the current shortcomings and future directions in this field.

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: none
Teacher disagreement score0.867
Threshold uncertainty score0.373

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 head0.019
GPT teacher head0.301
Teacher spread0.283 · 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

Citations16
Published2024
Admission routes2
Has abstractyes

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