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Record W2032786313 · doi:10.1007/s00268-012-1453-z

Hepatocellular Telomere Length in Biliary Atresia Measured by Q‐FISH

2012· article· en· W2032786313 on OpenAlexaff
Yukihiro Sanada, Junko Aida, Youichi Kawano, Kenichi Nakamura, Naotaka Shimomura, Naoshi Ishikawa, Tomio Arai, Steven S.S. Poon, Naoya Yamada, Noriki Okada, Taiichi Wakiya, Makoto Hayashida, Takeshi Saito, Satoshi Egami, Shuji Hishikawa, Yoshiyuki Ihara, Taizen Urahashi, Koichi Mizuta, Yoshikazu Yasuda, Hideo Kawarasaki, Kaiyo Takubo

Bibliographic record

VenueWorld Journal of Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsTerry Fox Research Institute
FundersJichi Medical UniversityMinistry of Education, Culture, Sports, Science and Technology
KeywordsBiliary atresiaTelomereLiver transplantationAtresiaCentromereGastroenterologyFluorescence in situ hybridizationInternal medicineMedicineLiver diseaseTransplantationBiologyPathologyChromosomeGeneticsDNA

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002
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 score0.042
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.257
Teacher spread0.216 · 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

Citations21
Published2012
Admission routes1
Has abstractyes

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