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Record W1522684651 · doi:10.5772/23927

Poly(Lactic Acid)-Based Biomaterials: Synthesis, Modification and Applications

2012· book-chapter· en· W1522684651 on OpenAlexaff
Lin Xiao, Bo Wang, Guang Yang, Mario Gauthier

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsUniversity of Waterloo
FundersFundamental Research Funds for the Central UniversitiesHuazhong University of Science and TechnologyUniversity of Akron
KeywordsLactic acidMaterials scienceBiologyBacteria

Abstract

fetched live from OpenAlex

Properties PDLA PLLA PDLLA Solubility All are soluble in benzene, chloroform, acetonitrile, tetrahydrofuran (THF), dioxane etc., but insoluble in ethanol, methanol, and aliphatic hydrocarbons Crystalline structure Crystalline Hemicrystalline Amorphous Melting temperature (T m )/ C ~180 ~180 Variable Glass transition temperature (T g )/ C 50-60 55-60 Variable Decomposition temperature/C ~200 ~200 185-200 Elongation at break/ (%) 20-30 20-30 Variable Breaking strength/ (g/d) 4.0-5.0 5.0-6.0 Variable Half-life in 37C normal saline 4-6 months 4-6 months 2-3 months Table 1. Selected physical and chemical properties of PLA.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.049
GPT teacher head0.250
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations272
Published2012
Admission routes1
Has abstractyes

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