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Record W4231206586 · doi:10.1038/sj.labinvest.3700612

Genitourinary

2006· article· en· W4231206586 on OpenAlexaff
Weijian Zhu, H. D. Appelman, Joel K. Greenson, Stephen R. Ramsburgh, Mark B. Orringer, Andrew C. Chang, Kien Mai, H M Yazdi, Eric Saltel, Sophie Park, I Erdogan, L Liu, J. Qian, Harinder Singh, Isabelle Meiers, T Tops, Xiaoming Zhou, Bostwick Bostwick, Paula Abreu-e-Lima, Peter M. Sadow, E. Nakamura, William G. Kaelin, Brian P. Adley, Xiao Yang

Bibliographic record

VenueLaboratory Investigation · 2006
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineBiology

Abstract

fetched live from OpenAlex

SLN in these 13 pts. Separate SLNM away from the tumor site in 37 pts yielded 40 nontumor related SLN; again, none had identifiable epithelial cells. Of 212 pts invasive tumor undergoing SLNM, 15 pts had 19 SLN positive for micrometastatic tumor less than 2 mm identified by H+E stain, while13 pts had 16 SLN positive for isolated tumor clusters seen only by IHC. Thus, in summary, for 50 total pts with SLNM either away from the main tumor or without invasive cancer, epithelial cells were absent in 79 SLN examined by MLS and IHC. In contrast, in 212 pts with invasive colorectal cancer who underwent SLNM at the primary tumor site, 28 pts had 35 nodes positive by IHC only or with micrometastasis (<2 mm). The difference between these groups is significant (Chi square; p 0.025 comparing either pts or nodes). Conclusions: SLNM alone does not induce BMT. While BMT in pts only with invasive tumor is not completely excluded, the rate of such passive transfer would be low. In summary, BMT is not a significant factor in SLNM of colorectal cancers.

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 score0.095
Threshold uncertainty score0.265

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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