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Record W3128441290 · doi:10.1016/j.cmet.2020.10.024

Low-Calorie Sweeteners with Carbohydrate Do Not Impair Insulin Sensitivity in Humans: Re-analysis Highlighting the Importance of the Comparator

2021· letter· en· W3128441290 on OpenAlexafffund
Tauseef Khan, John L. Sievenpiper

Bibliographic record

VenueCell Metabolism · 2021
Typeletter
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersObesity CanadaInternational Sweeteners AssociationEuropean Association for the Study of DiabetesOntario Ministry of Research, Innovation and SciencePhysicians' Services Incorporated FoundationCanada Foundation for InnovationInternational Life Sciences InstituteInternational Nut and Dried Fruit CouncilGlycemic Index FoundationDiabetes CanadaCanadian Cardiovascular SocietyCanadian Institutes of Health ResearchAlmond Board of CaliforniaDairy Farmers of CanadaCalifornia Health Care Safety Net InstitutePhysicians Committee for Responsible MedicineOntario Ministry of Research and InnovationOntario Research FoundationAbbott FundNational Dried Fruit Trade AssociationEuropean Food Safety Authority
KeywordsSucraloseSugarCarbohydrateSucroseFood scienceMaltodextrinCarbohydrate metabolismCalorieInsulin sensitivityChemistryInsulinEndocrinologyBiochemistryMedicineInsulin resistance

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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 designBench or experimental
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

Citations5
Published2021
Admission routes2
Has abstractno

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