Glucagon-like-peptide 1 (GLP-1) Receptor Agonists in Rheumatologic Disease
Bibliographic record
Abstract
Obesity is a complex chronic disease that increases the risk of long-term medical complications and reduces lifespan due to excess body fat or adiposopathy. As of 2016, obesity affects 8.3 million (26.4%) of the Canadian population. Severe obesity, defined as a body mass index (BMI) >35 kg/m2, affects an estimated 1.9 million Canadians. The financial burden of obesity, including both direct and indirect costs, was estimated to be $7.1 billion in 2010. The pathophysiology of obesity is complex and involves a combination of genetic, metabolic, behavioural, and environmental factors. The hypothalamus regulates appetite and energy expenditure, while the mesolimbic area controls the emotional, pleasurable, and rewarding aspects of eating. The cognitive lobe is responsible for overriding the hedonic drive of the mesolimbic system. Adipose tissue itself contributes to its regulation through the release of leptin in proportion to fat mass. Leptin binds to receptors in the hypothalamus to reduce appetite and increase energy expenditure. Similarly, insulin binds to receptors in the arcuate nucleus of the hypothalamus also reducing appetite and increasing energy expenditure.
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 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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.
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.
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".