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Record W2128685321 · doi:10.1126/scitranslmed.3002493

miRNA Processing and Human Cancer: DICER1 Cuts the Mustard

2011· review· en· W2128685321 on OpenAlexaff
Amin Bahubeshi, Marc Tischkowitz, William D. Foulkes

Bibliographic record

VenueScience Translational Medicine · 2011
Typereview
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsMcGill University Health CentreJewish General HospitalUniversity of Toronto
Fundersnot available
KeywordsmicroRNACancerBiologyMedicineComputational biologyVirologyCancer researchBioinformaticsGeneticsGene

Abstract

fetched live from OpenAlex

Numerous studies have implicated microRNAs (miRNAs) in cancer initiation and progression. In contrast, only recently has attention been focused on the pathway that generates these regulatory molecules. The identification of neoplasia-associated germline mutations in DICER1 has focused translational research on components of the miRNA processing pathway. Deciphering of the many links between miRNA processing perturbations and cancer will likely provide insights into mechanisms of cancer control.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.144
GPT teacher head0.432
Teacher spread0.288 · 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 designOther design
Domainnot available
GenreReview

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

Citations71
Published2011
Admission routes1
Has abstractyes

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