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Record W7071550010

The roles of cellular Factor XIII-A in osteoblasts

2015· dissertation· en· W7071550010 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsnot available
FundersInstitute of Musculoskeletal Health and ArthritisFaculty of Dentistry, McGill UniversityJapan Society for the Promotion of ScienceCanadian Institutes of Health ResearchChina Scholarship CouncilMcGill University
KeywordsOsteoblastExtracellular matrixExtracellularTissue transglutaminaseCaveolaeIn vitroSecretionCellMatrix (chemical analysis)Cell migration
DOInot available

Abstract

fetched live from OpenAlex

Bone 10 Bone matrix and mineralization 11 Collagen type I 12 Biosynthesis and secretion of collagen type I 12 Microtubule dynamics and post-translational modifications of tubulin 14 Plasma membrane and cell surface tubulin 18 Caveolae 19 Structure and functions 19 Caveolin and bone 21 Src and its role on bone formation 22 Caveolin and c-Src 23 Role of caveolae in matrix turnover 24 Transglutaminases 25 Functions and TG substrates 25 TG isoform-specific substrate peptides 30 TG Inhibitors 32 Factor XIII-A 35 Factor XIII-A in bone and osteoblast 37 Rationale, hypothesis and objectives 38 References 41 Chapter 2-MC3T3-E1 cell lines as a cell culture model to study caveolae and plasma membrane tubulin in osteoblasts 53 Preparation of caveolae enriched fractions from MC3T3-E1 osteoblast 54 Plasma membrane tubulin in MC3T3-E1 osteoblasts 56 References 58 III Chapter 3-Detyrosinated Glu-tubulin is a substrate for cell surface Factor XIII-A in osteoblasts 59

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 score0.003

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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
Published2015
Admission routes1
Has abstractyes

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