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Accumulation of a Black Material Around Some Titanium Coupling Posts

2002· article· en· W2083346604 on OpenAlexaff
David R. Jordan, Seymour Brownstein, Michael W. Dorey, Dustin J. Coupal, Nina Ahuja, Steven Gilberg

Bibliographic record

VenueOphthalmic Plastic and Reconstructive Surgery · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicOcular Disorders and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTitaniumMedicineConjunctivaAsymptomaticPathologyMetallurgyMaterials science

Abstract

fetched live from OpenAlex

PURPOSE: To report 5 patients with a black material accumulating in the conjunctiva around the titanium peg and sleeve systems. METHODS: Retrospective small case series. The clinical features of 5 patients were reviewed. Histopathologic analysis was performed on specimens from 3 patients. Neutron activation analysis was performed on 1 sample. RESULTS: Five asymptomatic patients with black material accumulating in the conjunctiva at the conjunctival-titanium peg interface were evaluated. All patients had a hydroxyapatite-coated titanium sleeve with a titanium peg in position. Histopathologic analysis performed on specimens from 3 patients revealed a mixed inflammatory cell infiltrate with focal areas of a black, foreign-appearing material showing birefringence under polarized light that was predominantly intracytoplasmic. This black material did not respond to bleaching, and in 2 patients, it showed positive staining for iron (Perls method). The material from one patient was evaluated by neutron activation analysis and was found to contain titanium, aluminum, and vanadium. In 18 to 48 months of follow-up, the presence of the material did not appear to be associated with any problems. CONCLUSIONS: The presence of a black substance accumulating in the conjunctiva around some titanium coupling posts is uncommon and appears to be without any consequence in 18 to 48 months of follow-up. Our analysis revealed this substance to be consistent with titanium alloy (Ti-6Al-4V).

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.495

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 head0.028
GPT teacher head0.253
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2002
Admission routes1
Has abstractyes

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