J Pharm Pharmaceut Sci (www. cspsCanada.org) 8 (2):259-271, 2005 Emerging Pharmacological Approaches to the Treatment of Obesity
Bibliographic record
Abstract
ABSTRACT. The obesity epidemic has been recognized by the World Health Organization (WHO) as one of the top 10 global health problems. Worldwide, more than one billion adults are overweight and over 300 million are obese. The majority of developed countries, including the United States, Canada and England are experiencing dramatic increases in obesity. Obesity is a condition associated with the accumulation of excessive body fat resulting from chronic imbalance of energy whereby the intake of energy exceeds expenditure. The excess body fat predisposes an obese individual to chronic diseases, such as coronary heart disease, type 2 diabetes and diseases of the gall bladder and cancer. The high incidence of obesity and the lack of safe pharmaceutical agents have fuelled an increase in anti-obesity drug-related research. Although a number of pharmacological approaches have been investigated in recent years, few safe, therapeutically effective products have been developed. This commentary focuses on emerging pharmacological approaches targeted for the treatment of obesity.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.151 | 0.060 |
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".