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Record W2070416332 · doi:10.1002/adma.200602276

Nanostructuring of a Titanium Material by High‐Pressure Torsion Improves Pre‐Osteoblast Attachment

2007· article· en· W2070416332 on OpenAlex
Shahab Faghihi, Alexander P. Zhilyaev, Jerzy A. Szpunar, Fereshteh Azari, Hojatollah Vali, Maryam Tabrizian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Materials · 2007
Typearticle
Languageen
FieldEngineering
TopicSurface Treatment and Residual Stress
Canadian institutionsMcGill University
FundersRussian Foundation for Basic Research
KeywordsMaterials scienceTitaniumOsteoblastNanostructureTitanium oxideTorsion (gastropod)OxideNanotechnologySubstrate (aquarium)Chemical engineeringMetallurgy

Abstract

fetched live from OpenAlex

Interaction of osteoblast and fibroblast cells with the surface of nanostructured titanium fabricated through high-pressure torsion (HPT) is reported. The underlying metallic nanostructure of an HPT-processed titanium substrate (see figure) affects the structure and composition of the thin oxide layer formed on the surface of these substrates. As a result, the physical and biological behavior of osteoblast cells toward the HPT-processed titanium substrates substantially improves (see inset).

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.

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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.790

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 head0.002
GPT teacher head0.208
Teacher spread0.206 · 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