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Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
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Bibliographic record
VenueUWA Profiles and Research Repository (University of Western Australia) · 2018
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
FundersFP7 Ideas: European Research CouncilCarolina Population Center, University of North Carolina at Chapel HillNational Center for Research ResourcesNational Institute of Child Health and Human DevelopmentNational Institute of Environmental Health SciencesNational Institute of Neurological Disorders and StrokeNational Institute on AgingNIHR Cambridge Biomedical Research CentreNational Health and Medical Research CouncilCanadian Institutes of Health ResearchForsknings- og InnovationsstyrelsenNational Heart, Lung, and Blood InstituteKaiser Foundation Research InstituteDirectorate for Biological SciencesNational Institutes of HealthDiabetesforeningenMRC-PHE Centre for Environment and HealthCentre for Cognitive Ageing and Cognitive EpidemiologyH. Lundbeck A/SHjartaverndInstitut de Cardiologie de MontréalMedical Research CouncilServierRegione LombardiaBoehringer Ingelheim StiftungNational Center for Advancing Translational SciencesUniversità degli Studi di VeronaFondation LeenaardsDanish Agency for Science and Higher EducationMarcus och Amalia Wallenbergs minnesfondHögskolan DalarnaA.P. Møller og Hustru Chastine Mc-Kinney Møllers Fond til almene FormaalSydäntutkimussäätiöUniversitetet i BergenUniversity of MinnesotaVetenskapsrådetAarhus Universitets ForskningsfondMax-Planck-GesellschaftNational Institute of Diabetes and Digestive and Kidney DiseasesNorwegian Institute of Public HealthKnut och Alice Wallenbergs StiftelseDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistero della SaluteRegion HovedstadenNovo NordiskHjärt-LungfondenBritish Heart FoundationBundesministerium für Bildung und ForschungStrategiske ForskningsrådZonMwSystemsX.chSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungEuropean Foundation for the Study of DiabetesCancer Research UKNational University of SingaporeLandstinget DalarnasAstraZenecaNational Institute for Health Research Health Protection Research UnitEuropean CommissionImperial College Healthcare NHS TrustWellcome TrustAarhus UniversitetAustralian GovernmentNorges ForskningsrådQIMR Berghofer Medical Research InstituteNorges Teknisk-Naturvitenskapelige UniversitetWake Forest School of MedicineHelse VestSundhed og Sygdom, Det Frie ForskningsrådJohns Hopkins UniversityNational Cancer InstituteLundbeckfondenFoundation for Cardiovascular ResearchNational Science FoundationMassachusetts General HospitalErasmus Medisch CentrumDiabetesforbundetPfizerFondation Institut de Cardiologie de MontréalNorthwestern UniversityQueen Mary University of LondonNational Institute for Health and Care ResearchIstituto Superiore di SanitàImperial College LondonEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentGlaxoSmithKlineAndrea and Charles Bronfman PhilanthropiesAmerican Heart Association
KeywordsBody mass indexEnergy expenditureObesityEnergy metabolismIndex (typography)EndocrinologyBiologyMedicineComputer science
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.019
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 head0.055
GPT teacher head0.286
Teacher spread0.231 · 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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
Citations0
Published2018
Admission routes1
Has abstractno