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Record W4250144451 · doi:10.1002/dvdy.24328

Issue Information

2016· paratext· en· W4250144451 on OpenAlexfundno aff

Bibliographic record

VenueDevelopmental Dynamics · 2016
Typeparatext
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsnot available
FundersNational Cancer InstituteYonsei University College of MedicineMenzies Centre for Australian Studies, King's College London, University of LondonSchool of Medicine, Indiana UniversitySchool of MedicineNational Institutes of HealthHirosaki UniversityCentro Nacional de Investigaciones CardiovascularesYonsei UniversityNorthwestern UniversityYork UniversityUniversity of RochesterUniversitat Pompeu FabraUniversity of OttawaUniversität BaselUniversity of MinnesotaCase Western Reserve UniversityFondazione Italiana per la Ricerca sul CancroHoward Hughes Medical InstituteCincinnati Children's Hospital Medical CenterTulane UniversityUniversity of WashingtonStowers Institute for Medical ResearchWeill Cornell Medical CollegeSt. Jude Children's Research HospitalUniversity of PittsburghVirginia Polytechnic Institute and State UniversityPurdue UniversityBrigham Young UniversityUniversity of East AngliaRIKENKing's College LondonChildren's Hospital of PhiladelphiaGeorge Washington UniversityFlorida State UniversityClemson University
KeywordsBiologyCitationAnatomyWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

COVER PHOTOGRAPH : GLI1 and cJUN co‐localize with visceral smooth muscle during intestinal development. [DAPI (gray), eGFP (green), smooth muscle marker aSMA (red) and cJUN (purple).] From Transcriptome of the inner circular smooth muscle of the developing mouse intestine: evidence for regulation of visceral smooth muscle genes by the Hedgehog target gene , cJun, Katherine Gurdziel, Kyle R. Vogt, Katherine D. Walton, Gary K. Schneider, and Deborah L. Gumucio, Developmental Dynamics 245:614–626. Read the full article at DOI: 10.1002/dvdy.24380

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 categoriesMeta-epidemiology (narrow), 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: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.020

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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