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Record W2114184352 · doi:10.3109/01913123.2015.1042608

ESEM Detection of Foreign Metallic Particles inside Ameloblastomatous Cells

2015· article· en· W2114184352 on OpenAlex

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

VenueUltrastructural Pathology · 2015
Typearticle
Languageen
FieldDentistry
TopicOral and Maxillofacial Pathology
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsEnvironmental scanning electron microscopeAmeloblastomaMetalScanning electron microscopeCigarette smokeOdontogenicPathologyForeign BodiesElectron microscopeMaterials scienceNanotechnologyDentistryMedicineBiologyComposite materialMetallurgyToxicologyOpticsSurgery

Abstract

fetched live from OpenAlex

Ameloblastoma is a borderline tumor of odontogenic origin, with a high recurrence rate and possible local aggressiveness. The etiopathogenetic factors involved in its occurrence are not still defined and our study has been precisely aimed to search for novel factors associated with its development. Sections cut from paraffin blocks, containing the representative specimens of 18 different ameloblastomas, collected in a 15-year period (1999-2014), have been observed by an environmental scanning electron microscope, in order to search micro- and nano-sized particles and to identify their composition. In all the neoplastic cases, micro- and nano-sized metallic debris, differing in size and composition, have been detected inside the ameloblastomatous cells. On the contrary, the total absence of metallic particles in the healthy control cases has been emerged. Our results reveal a relationship between ameloblastoma and metallic particulate. The cigarette smoke and the routine dental practice appear the most probable source for the presence of these biopersistant inorganic particles inside the neoplastic cells.

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 score0.063
Threshold uncertainty score0.816

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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