Systematic Reviews of Clinical of Acupuncture as Treatment for Depression:<i>How Systematic and Accurate Are They?</i>
Bibliographic record
Abstract
Complementary and alternative medicine (CAM) is very popular in the United States, Canada and other Western societies, and the number of patients seeking treatment by CAM practitioners is increasing. This trend also affects treatment-seeking patients with affective disorders. Many patients and mental health providers update their information and formulate opinions and decisions based on second-hand digested summaries and scientific reviews of the literature. This results in the proliferation of review articles and journals that are exclusively dedicated to reviews. Since most medical schools do not teach CAM and most continuing medical education programs still ignore these subjects, it is of interest to examine the reliability of reviews that claim to be “systematic” and not to take their procedures and conclusions for granted.
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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 | 0.158 | 0.580 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.007 |
| Bibliometrics | 0.022 | 0.022 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".