Bibliographic record
Abstract
# Cautious approach is needed {#article-title-2} EDITOR—Leibovici used rigorous scientific method in his study to explore the role of intercessory prayer in health care.1 Using a randomised controlled trial design with a large group of patients and selecting a range of appropriate outcome measures, he showed a significant difference in length of stay and duration of fever and concluded that prayer may be a useful treatment. These results, however, need to be interpreted with caution. There was no significant difference between the two groups with regard to the most clinically important outcome (mortality), and the median values varied little between prayer and non-prayer on both length of stay (seven and eight days) and duration of fever (two days each). The religious affiliation of the person saying the prayer is not given. Many religious groups do not accept the power of prayer given by those with different beliefs. If real, the effect of prayer shown in this study may be unrelated to supernatural power and hence to a particular belief system, or may be specific to beliefs, reflecting the power inherent in a particular religion. Further work is needed in this area before conclusions can be made. 1. 1.↵1. Leibovici L .Effects of remote, retroactive intercessory prayer on outcomes in patients with bloodstream infection: randomised controlled trial.BMJ2001; 323:1450–1451. (22 December.) [OpenUrl][1][Abstract/FREE Full Text][2] # Paper proves power of statistics, not prayer {#article-title-4} EDITOR—It was very brave of both Leibovici and the BMJ to publish this paper and be prepared for the criticism from the outraged masses.1 The idea that retroactive intercessory prayers could have an influence on the outcome of septicaemia is intriguing and challenges our notions of cause and effect. If it is true, however, this is not the paper to prove it. The data on the most significant finding, length of stay, seem to be skewed by a few abnormally high results in the control group. This is shown by the fact that the median length of stay is the same in both groups but the maximum length … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft.stitle%253DBMJ%26rft.issn%253D0007-1447%26rft.aulast%253DLeibovici%26rft.auinit1%253DL.%26rft.volume%253D323%26rft.issue%253D7327%26rft.spage%253D1450%26rft.epage%253D1451%26rft.atitle%253DEffects%2Bof%2Bremote%252C%2Bretroactive%2Bintercessory%2Bprayer%2Bon%2Boutcomes%2Bin%2Bpatients%2Bwith%2Bbloodstream%2Binfection%253A%2Brandomised%2Bcontrolled%2Btrial%26rft_id%253Dinfo%253Apmid%252F11751349%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=323/7327/1450&atom=%2Fbmj%2F324%2F7344%2F1037.atom
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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".