Letter to the Editor From Modarressi and Derakhshan: “Effects of Coenzyme Q10 Supplementation on Lipid Profiles in Adults: A Meta-analysis of Randomized Controlled Trials”
Bibliographic record
Abstract
Journal Article Letter to the Editor From Modarressi and Derakhshan: "Effects of Coenzyme Q10 Supplementation on Lipid Profiles in Adults: A Meta-analysis of Randomized Controlled Trials" Get access Taher Modarressi, Taher Modarressi Hamilton Cardiology Associates, Hamilton, NJ 08690, USA Correspondence: Taher Modarressi, M.D., Hamilton Cardiology Associates, 1262-B Whitehorse Hamilton Square Rd, Hamilton, NJ 08690-0103, USA. Email: modarressit@gmail.com. https://orcid.org/0000-0002-2066-5750 Search for other works by this author on: Oxford Academic Google Scholar Arsalan Derakhshan Arsalan Derakhshan Cleveland Clinic, Department of Cardiovascular Medicine, Cleveland, OH 44194, USA Search for other works by this author on: Oxford Academic Google Scholar The Journal of Clinical Endocrinology & Metabolism, Volume 108, Issue 8, August 2023, Page e646, https://doi.org/10.1210/clinem/dgad117 Published: 03 March 2023 Article history Received: 17 January 2023 Editorial decision: 20 January 2023 Published: 03 March 2023 Corrected and typeset: 20 March 2023
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Editorial About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.006 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".