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Record W4381848175 · doi:10.1016/j.jmrt.2023.06.204

Impact of aging on the sintering behavior of bioactive-glass powder

2023· article· en· W4381848175 on OpenAlexaff
Andrea Mari, Matteo Pavarini, Pier Francesco Menci, Cindy Charbonneau, Louis‐Philippe Lefebvre, Luigi De Nardo

Bibliographic record

VenueJournal of Materials Research and Technology · 2023
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMaterials scienceSinteringFabricationBioactive glassMoistureComposite materialChemical engineeringProcess engineering

Abstract

fetched live from OpenAlex

Bioactive glasses (BGs) have been successfully used for several years as bone graft substitutes to fill defects and augment bone structures in orthopedic and dental procedures. Despite recent advances in the fabrication of reliable 3D scaffolds based on BG, the reproducibility of fabrication has only been marginally addressed and remains a challenge for their application. Recent studies have shown that BGs can react with moisture and atmospheric CO2 to form carbonates, affecting the properties and structure of the final product. In this study, factors that can affect the sintering behavior of BG powders were identified and investigated. A statistical analysis was then performed to optimize the BG sintering process, which revealed the possibility of obtaining BG scaffolds with reproducible density by acting on controllable factors such as aging and drying. In practice, this can be achieved by controlling the atmosphere during processing, handling, and storage of the material.

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)0.001
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 score0.006
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.044
GPT teacher head0.344
Teacher spread0.300 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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