Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of the review is to update the reader on the long anticipated Obesity 2, the second iteration of 'Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: the Evidence Report'. RECENT FINDINGS: Obesity 2 maintains a focus on primary care practitioners and their patients in an effort to reduce cardiovascular risk. Just as Obesity 1 limited the literature review to the years 1980-1997, Obesity 2 limits the literature under consideration from 1999 to 2011. However, because of the painstaking methodology employed, the scope of the Obesity 2 is of necessity more limited with five critical questions. These deal with risks of overweight and obesity, benefits of weight loss and evaluate three treatment areas - diet, behavioral therapies and surgical therapies. The critical questions inform recommendations in these same areas. SUMMARY: Although not comprehensive in scope, the guidance offered in Obesity 2 is backed by stringent approaches to limit bias and assuring rigor, thus producing recommendations one can trust in the areas covered.
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 | 0.012 | 0.053 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".