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Record W2528138059 · doi:10.1111/dom.12805

Glucagon‐like peptide‐1 receptor agonists compared with basal insulins for the treatment of type 2 diabetes mellitus: <scp>a</scp> systematic review and meta‐analysis

2016· review· en· W2528138059 on OpenAlexaff
Sonal Singh, Eugene E. Wright, Anita Y. M. Kwan, Juliette C. Thompson, Iqra Syed, Ellen Korol, Nathalie Waser, Maria Yu, Rattan Juneja

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2016
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsEli Lilly (Canada)
FundersBoehringer IngelheimAmgen
KeywordsDulaglutideExenatideMedicineLiraglutideInternal medicineType 2 diabetesBasal (medicine)SitagliptinMeta-analysisLixisenatideRandomized controlled trialGlucagon-like peptide 1 receptorDiabetes mellitusEndocrinologyInsulinReceptorAgonist

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.013
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.034
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.033
GPT teacher head0.284
Teacher spread0.251 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations98
Published2016
Admission routes1
Has abstractyes

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