Bibliographic record
Abstract
The National Guideline Clearinghouse (NGC) is a public resource for evidence-based clinical practice guidelines. The web site is intended to make guidelines and related materials available to health professionals. To be included in this comprehensive database, a clinical practice guideline must meet multiple criteria (1), which are available on the web site. Among the required criteria is the performance of a verifiable systematic literature search and review of scientific evidence published in peer-reviewed journals. NGC is sponsored by the Agency for Health Care Policy and Research (AHCPR), a part of the US Department of Health and Human Services, in partnership with the American Medical Association and the American Association of Health Plans. Components of the NGC web site include an index, tools for comparing guidelines, summaries, links to full-text versions, an electronic forum, and various references. Currently, the NGC web site posts close to 600 guidelines. These guidelines are drawn from numerous sources, including, for example, the AHCPR, professional medical academies, professional associations, NIH/CDC and other governmental agencies, hospitals, private foundations, service organizations, and more. Representation from laboratory medicine is scant. For example, the College of American Pathologists lists only three guidelines (examination of the placenta, practice parameter for red blood cell transfusions, and preoperative bleeding time lack of benefit). Of course, there are literally thousands of guidelines in existence, so one can expect the content of this web site to expand. Some guidelines are reviewed, which is useful but perhaps not timely because of delays since the year of guideline publication.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.141 | 0.135 |
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".