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Record W2335746692 · doi:10.1055/s-0033-1344861

Recognizing sessile serrated adenomas/polyps: a diagnostic challenge for pathologists

2013· letter· en· W2335746692 on OpenAlexaff
Runjan Chetty

Bibliographic record

VenueEndoscopy · 2013
Typeletter
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineAdenomaHyperplastic PolypLesionCarcinogenesisChromosome instabilityPathologyInternal medicineColorectal cancerCancerColonoscopyGeneticsBiology

Abstract

fetched live from OpenAlex

In the past 15 years, it has become increasingly clear that a significant proportion of colorectal cancers arise from a serrated precursor lesion rather than the conventional adenoma. These lesions are known as sessile serrated adenoma or polyps (SSA/P) and are mediated by a different molecular (serrated) pathway to the chromosomal instability pathway. Several researchers have suggested that the serrated pathway is an accelerated one leading to carcinogenesis. For these reasons, it is imperative that both gastroenterologists and pathologists are not only aware of the existence of SSA/P, but are able to make the correct diagnosis and, subsequently, to manage the patient appropriately.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
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 head0.051
GPT teacher head0.309
Teacher spread0.257 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes1
Has abstractyes

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