MétaCan
Menu
← Back to cohort
Record W3016935237 · doi:10.17504/protocols.io.wxhffj6

IP Glucose Tolerance Test in Mouse v1

2019· preprint· en· W3016935237 on OpenAlexaff
Nancy Smith, Mourad Ferdaoussi, Haopeng Lin, Patrick E. MacDonald

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIn vivoInsulin tolerance testGlucose tolerance testGenetically modified mouseInternal medicineEndocrinologyEx vivoPancreasTransgeneInsulinMedicineBiologyInsulin resistanceBiotechnologyGeneBiochemistryInsulin sensitivity

Abstract

fetched live from OpenAlex

This protocol details the IP glucose tolerance test in mice. This is performed on C57Bl6, transgenic SENP1 KO and ZMIZ1 KO mouse models. Typically GTT's are done at 12 weeks of age. Following the GTT on chow diet, some mice are put on high fat diet for the next 10 weeks. Subsequent glucose tolerance tests are performed following 2 days, 4 weeks and 8 weeks of high fat diet. Insulin tolerance test can also be performed. Once the in vivo studies are complete, the pancreas or islets are isolated for further ex vivo experiments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.045
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0450.026

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicPancreatic function and diabetes→French-language works237,207→