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Record W1524669496

In-vivo ultrasound assisted tissue engineered articular condyle

2008· article· en· W1524669496 on OpenAlexaffvenue
Tarek El‐Bialy, Hasan Uludağ, Walied Moosa, Saranjeev Lalh, Nadr M. Jomha, Stephen F. Badylak

Bibliographic record

VenueCanadian acoustics · 2008
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCondyleBiomedical engineeringChondrogenesisTemporomandibular jointScaffoldMatrix (chemical analysis)In vivoFemurAnatomyTissue engineeringMaterials scienceCartilageChemistryMedicineDentistrySurgeryBiology
DOInot available

Abstract

fetched live from OpenAlex

The effects of (LIPUS) on in-vivo functional integration of autologus tissue engineered mandibular condyle (TEMC) for replacement of exercised temporomandibular articular condyles was evaluated. The bone marrow stem cells (BMSC) of rabbits, isolated from their femur bones, were differentiated into chondrogenic or osteogenic cells. The cells were seeded into collagen sponges housed into biodegradable extra-cellular matrix (ECM) scaffold to from TEMCs. The urinary bladder matrix extra-cellular matrix (UBM ECM) was then lyophilized and its six sheets were laminated by vacuum pressing. The left temporomandibular joint (TMJ) in each rabbit was exercised under general anesthesia and Xylazine at a rate of 1 mL/kg. The results show a comparable morphological and dimensional features of the TEMC and normal condyle.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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
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
Published2008
Admission routes2
Has abstractyes

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