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A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
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.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Bibliographic record
VenueUNC Libraries · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesFogarty International CenterGreat Southern Development Commission, Government of Western AustraliaNational Human Genome Research InstituteHelmholtz Zentrum MünchenNational Key Research and Development Program of ChinaEuropean Regional Development FundCambridge Institute for Medical Research, University of CambridgeEconomic and Social Research CouncilSamsungNational Institutes of HealthKorea Research Environment Open NetworkAvera Institute for Human GeneticsNational Institute on AgingUniversität GreifswaldMRC-PHE Centre for Environment and HealthInstituto de Salud Carlos IIINational Institute for Nutrition and HealthNorwegian Biodiversity Information CentreChief Scientist Office, Scottish Government Health and Social Care DirectorateMinistry of Science and ICT, South KoreaInstitut de Cardiologie de MontréalImperial College LondonKing's College LondonFondation Institut de Cardiologie de MontréalTaichung Veterans General HospitalForsknings- og InnovationsstyrelsenMedical Research Council CanadaWetenschappelijk Onderzoek- en DocumentatiecentrumRadboud Universitair Medisch CentrumOffice of Research and DevelopmentSydäntutkimussäätiöLeids Universitair Medisch CentrumAstellas PharmaInstituto Mexicano del Seguro SocialNovo NordiskNational Institute for Health Research Health Protection Research UnitVetenskapsrådetKorea National Institute of HealthOesterreichische NationalbankMinistry of Education, Culture, Sports, Science and TechnologyGovernment of Western AustraliaKarolinska InstitutetMedical Research CouncilHjärt-LungfondenHelsefondenKorea Institute of Science and Technology InformationKorea Institute of Science and TechnologyAccareFinska LäkaresällskapetErasmus Medisch CentrumNational Medical Research CouncilKfH-Stiftung PräventivmedizinStockholms Läns LandstingNational Science CouncilNational Research Foundation of KoreaKoninklijke Nederlandse Akademie van WetenschappenNational Natural Science Foundation of ChinaFoundation for Cardiovascular ResearchZonMwNIH Office of the DirectorUniversity of Notre Dame AustraliaEdith Cowan UniversityStiftelsen för Strategisk ForskningCompute CanadaRadboud UniversiteitNational Heart, Lung, and Blood InstituteUniversiteit LeidenNederlandse Organisatie voor Wetenschappelijk OnderzoekChinese Academy of SciencesSundhed og Sygdom, Det Frie ForskningsrådMurdoch UniversityChina-Japan Friendship HospitalDeutsche ForschungsgemeinschaftFondation LeducqHallym UniversityAustrian Science FundNational Institute for Health and Care ResearchNational Research FoundationNational Center for Advancing Translational SciencesEuropean Science FoundationBundesministerium für Bildung und ForschungMinistero dell’Istruzione, dell’Università e della RicercaBritish Heart FoundationWomen and Infants Research FoundationCurtin University of TechnologyJapan Agency for Medical Research and DevelopmentRaine Medical Research FoundationDaiwa Securities Health FoundationUniversity of BristolCanadian Institutes of Health ResearchEuropean CommissionKnut och Alice Wallenbergs StiftelseNIHR Cambridge Biomedical Research CentreScottish Funding CouncilNovo Nordisk Foundation Center for Basic Metabolic ResearchUniversity of Notre DameHealth and Safety ExecutiveNational Health and Medical Research CouncilDeutsche KrebshilfeUniversity of OxfordAstraZenecaU.S. Department of Veterans AffairsRegion HovedstadenDepartment for the EconomyScottish GovernmentBroad InstituteAustralian GovernmentImperial College Healthcare NHS TrustPerelman School of Medicine, University of PennsylvaniaCancer Research UKWellcome TrustEU Joint Programme – Neurodegenerative Disease ResearchNational Institute of Child Health and Human DevelopmentJan Dekker StichtingHjerteforeningenHelsinki Institute of Life Science, Helsingin YliopistoJuvenile Diabetes Research Foundation InternationalNational Institute of Allergy and Infectious DiseasesDanish Agency for Science and Higher EducationGlaxoSmithKlineGenome CanadaGratama StichtingUniversität RegensburgSchool of Medicine, Boston UniversityHelsingin YliopistoPublic Health AgencyCenter of Innovation ProgramUniversity of PennsylvaniaU.S. Department of Health and Human ServicesAmerican Diabetes AssociationAmerican Heart AssociationScience Foundation IrelandNational Science FoundationAndrea and Charles Bronfman PhilanthropiesDiabetes UK
KeywordsVariation (astronomy)Layer (electronics)Computational biologyBiologyGeneticsEvolutionary biologyChemistry
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
Full frame distilled prediction
Teacher imitationNot 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.519
Threshold uncertainty score0.470
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.030
GPT teacher head0.242
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations0
Published2024
Admission routes1
Has abstractno