MétaCan
Menu
Back to cohort
Record W2956377669 · doi:10.1093/jn/nxz136

Common Variants in Lipid Metabolism–Related Genes Associate with Fat Mass Changes in Response to Dietary Monounsaturated Fatty Acids in Adults with Abdominal Obesity

2019· article· en· W2956377669 on OpenAlexafffund
Shatha Hammad, Peter Eck, Jyoti Sihag, Xiang Chen, Philip W. Connelly, Benoı̂t Lamarche, Patrick Couture, Valérie Guay, Julie Maltais‐Giguère, Sheila G. West, Penny M. Kris‐Etherton, Kate J. Bowen, David J.A. Jenkins, Carla G. Taylor, Danielle Perera, Angela Wilson, Sandra Castillo, Peter Zahradka, Peter J.H. Jones

Bibliographic record

VenueJournal of Nutrition · 2019
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsSt. Boniface HospitalUniversité LavalUniversity of TorontoSt. Michael's HospitalUniversity of Manitoba
FundersNational Institute on AgingAgriculture and Agri-Food CanadaManitoba Canola Growers AssociationAlberta Canola Producers CommissionCanola Council of CanadaNational Institutes of HealthSaskatchewan Canola Development Commission
KeywordsCanolaSingle-nucleotide polymorphismInternal medicineObesityCrossover studyWaistEndocrinologyBody mass indexMedicineAdiponectinBiologyFood scienceGenotypeGeneticsInsulin resistanceGene

Abstract

fetched live from OpenAlex
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 imitation

Not 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)0.001
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.276
Teacher spread0.261 · 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 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

Citations15
Published2019
Admission routes2
Has abstractno

Explore more

Same venueJournal of NutritionSame topicFatty Acid Research and HealthFrench-language works237,207