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Record W1984215891 · doi:10.1002/dc.20139

Repair renal tubular cells: A potential false‐positive diagnosis in urine cytology

2004· article· en· W1984215891 on OpenAlexaff
Gia‐Khanh Nguyen, Roxanne Smith

Bibliographic record

VenueDiagnostic Cytopathology · 2004
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsPapanicolaou stainMedicineAtypiaCytopathologyUrine cytologyCytologyPathologyVimentinUrineNucleolusNuclear atypiaImmunohistochemistryInternal medicineCancerNucleus

Abstract

fetched live from OpenAlex

To study the cytopathology of repair renal tubular cells (RRTCs), the Papanicolaou-stained urine sediments of 371 patients with mild and moderate renal tubular injuries were reviewed. In 46 cases, the urine sediments showed, in addition to a mild or moderate increase in number of RTCs, a few isolated and clustered RRTCs that displayed well- or ill-defined, variably abundant, granular or vacuolated cytoplasm; slightly pleomorphic nuclei; and conspicuous or prominent nucleoli. A spectrum of nuclear changes ranging from mild to moderate atypias and/or severe atypia were present in many cases. These RRTCs stained strongly positively with vimentin antibody in 92.3% of the cases.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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 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

Citations22
Published2004
Admission routes1
Has abstractyes

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