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Record W1967490132 · doi:10.1002/ppul.22739

MicroRNAs and lung development

2012· review· en· W1967490132 on OpenAlex
Naghmeh Khoshgoo, Ramin Kholdebarin, Barbara Iwasiow, Richard Keijzer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Pulmonology · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of ManitobaResearch Manitoba
Fundersnot available
KeywordsmicroRNAOrganogenesisLungRNAComputational biologyBiologyRegulation of gene expressionMechanism (biology)GeneMedicineGene expressionBioinformaticsGeneticsInternal medicine

Abstract

fetched live from OpenAlex

MicroRNAs (miRNAs) constitute a large group of small (∼22 nucleotides), non-coding RNA sequences that are highly conserved among animals, plants and microorganisms, suggesting that microRNAs represent a highly conserved and important regulatory mechanism. They have been demonstrated to play an important role in gene regulation. Recently, miRNAs have become a major focus of interest for research in organ development. Research focusing on the potential role of microRNAs during lung development is slowly starting to emerge. A number of miRNAs have been demonstrated to play important roles during early and late lung development. Several studies have begun to profile miRNA expression at various stages of lung development and this article provides an overview of the various miRNAs that have been implicated in lung organogenesis.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.024
GPT teacher head0.288
Teacher spread0.264 · 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