Quality of the 11 Hypertension Clinical Practice Guidelines for the six domains of the AGREE-II Instrument (D1–D6) and the Overall Impression of the 4 Assessors.
Bibliographic record
Abstract
<p>D1 : Scope & purpose, D2: Stakeholder involvement, D3: Rigor of involvement, D4: Clarity of presentation, D5: Applicability, D6: editorial independence.</p><p>All the 23 items of the AGREE-II instrument are rated on a 7-point scale where a score of 1 is given when there is no information that is relevant to the item or if the concept is very poorly reported; a score of 7 is given if the quality of reporting is exceptional and where the full criteria and considerations articulated in the AGREE-II User's Manual have been met; and a score between 2 and 6 is assigned when the reporting of the AGREE II item does not meet the full criteria or considerations. Scores increase as more criteria are met and considerations addressed. In other words, the higher the score, the better the quality of the CPG item.</p><p>SOA: South Africa; IND: India; POL: Poland; MAL: Malaysia; EUR: Europe; JAP: Japan; LAT: Latin America; AUS: Australia; CAN: Canada; SAU: Saudi Arabia and NICE: UK's National Institute for Health and Clinical Excellence).</p>*<p>Although the scoring is done in integers, the numbers in this column represent the averages of the scoring done by 4 assessors.</p>**<p>Risk of bias: +++ high, ++ intermediate, + low.</p>***<p>This is based on the subjective assessment made individually by each of the 4 assessors in response to: “Do you recommend this CPG for use?”</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".